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Join our team as an AI Actor and contribute to the creation of high-quality, labeled audio-video content that fuels the next generation of AI models. Collaborate with a diverse group of talented actors to deliver compelling dramatic performances that accurately convey a broad range of emotions, settings, and demographics. This is a unique opportunity to impact the evolution of artificial intelligence by applying your skills and creativity to innovative data collection projects. Key Responsibilities:- Perform a variety of scripted prompts designed to elicit specific emotions from the Recommended Emotions Dictionary.- Record approximately 3.5 hours of targeted audio-video content in collaboration with actors from diverse backgrounds.- Work in dyads, pairing with another actor based on availability, to create realistic and dynamic interactions.- Ensure all recordings are conducted in quiet, well-lit environments using high-quality cameras and device microphones.- Follow precise technical protocols including ambient-noise checks, hand-clap sync for audio-video alignment, and use of Zoom’s separate audio file recording feature.- Communicate clearly and professionally, both in written and verbal formats, with the team and fellow actors.- Participate in the vetting process to ensure equipment standards and contribute feedback for process improvement. Qualifications:- Proven experience in acting, dramatic performance, or drama-based roles.- Exceptional ability to portray a wide spectrum of emotions authentically and convincingly.- Strong written and verbal communication skills.- Access to a 1080p (or higher) camera compatible with Zoom for high-quality video recording, adequate lighting, and a reliable device microphone.- Ability to follow technical instructions and strict data collection protocols.- Comfortable working independently and in pairs, remotely, with minimal supervision.- Attention to detail for maintaining clean, high-fidelity audio and video recordings. Preferred Qualifications:- Experience working with audio-video data collection, especially for AI or machine learning applications.- Background in remote work or virtual collaborations with global teams.- Strong interest in technology and supporting the advancement of AI. About RYZ Labs: RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect: - Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: As a Delivery Excellence Manager (DEM), you will lead and orchestrate successful implementations and long-term customer engagements, making our customers wildly successful. You will be responsible for ensuring efficient technical deployment, delivering proactive strategic guidance, and building then delivering against joint success plans. DEMs collaborate closely with Account Executives, AI Outcomes Managers, Solution Architects, Support and R&D on scoped engagements. You will: Help our customers achieve real business outcomes through the use of AI Serve as the primary lead on new customer deployments including hands on guidance for the setup of SSO and connectors  Own the end-to-end delivery from kickoff to  go-live thru renewal, ensuring clarity on expectations for all stakeholders  timeline, andServices budget. Create and execute on joint success plans that drive additional adoption, deepen engagement, and result in measurable business value. Overall program management. Develop, communicate, and execute tailored project plans; facilitate cross-functional collaboration across delivery, operations, and technical teams. Provide a blend of technical guidance and strategic partnership, acting as escalation manager when necessary. Monitor and report on deployment progress, customer adoption, and satisfaction metrics. Proactively identify risks or blockers and drive resolution—escalating internally when appropriate. Guide and document improvements for onboarding processes, playbooks, and best practices. Contribute to continuous process and product improvements by providing actionable feedback and participating in internal initiatives About you: 1-3 years of experience in technical deployment, implementation management, or technical account management of SaaS products at Enterprise customers. Strong understanding of software development life cycles and methodologies, including Agile and DevOps practices. Familiarity with cloud platforms (AWS, GCP, or Azure) and related services. Excellent analytical and problem-solving skills, with a focus on troubleshooting technical issues as well as  building consensus around outcomes and success measures. Strong organizational, project management, and communication abilities. Proven experience serving enterprise clients in both strategic, consultative and tactical, hands-on roles. Experience with process documentation, playbooks, and continuous improvement initiatives. Solutions-oriented mindset; trusted advisor with capability to own escalations. Capable of handling ambiguity and thriving in a fast-paced environment. Key knowledge and skills Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company is a must Technical configuration and troubleshooting A proactive and positive attitude to lead, learn, troubleshoot, and take ownership of both small tasks and large features Strong verbal and written communication skills for collaboration between customers and technical and non-technical stakeholders. Curiosity and tenacity Location: Bangalore This role is hybrid (3 days a week in our Bangalore office)

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RyzLabs is seeking a highly skilled and experienced Lead Data Scientist to join our growing analytics team. The ideal candidate will possess a deep understanding of statistical modeling, machine learning, and data engineering, with a proven track record of applying these skills to solve complex business problems, particularly within the e-commerce domain. This role requires a leader who can not only build sophisticated models but also mentor junior team members and translate technical insights into actionable strategies for business stakeholders.  Key Responsibilities  - Lead the design, development, and deployment of advanced predictive models, machine learning algorithms, and data-driven solutions to optimize various aspects of our e-commerce operations (e.g., personalization, recommendation engines, pricing, inventory management, fraud detection, customer lifetime value). - Collaborate with product, engineering, and business teams to identify opportunities for data science applications and dene project scopes.- Perform in-depth exploratory data analysis to uncover trends, paerns, and insights from large, complex datasets across a wide assortment of products. - Develop and maintain robust data pipelines and ensure data quality and integrity for modeling initiatives. - Communicate complex analytical findings and recommendations clearly and concisely to both technical and non-technical audiences. - Mentor and guide junior data scientists, fostering a culture of continuous learning and innovation within the team.- Stay abreast of the latest advancements in data science, machine learning, and e-commerce trends, and evaluate their applicability to our business.  Qualifications Must-Haves Education: Master's or Ph.D. in a quantitative eld such as Statistics, Mathematics, Computer Science, Economics, Operations Research, Engineering, or a related discipline.  Experience: - Minimum of 6+ years of progressive experience in data science, with at least 3 years specically focused on e-commerce, retail, or a similar high-volume consumer-facing industry. Demonstrated experience in building and deploying data science models across a large and diverse assortment of products. Proven leadership experience, including leading projects and mentoring junior team members. Technical Prociency: - Expert-level prociency in Python, including libraries essential for data science (e.g., scikit-learn, TensorFlow, PyTorch, Keras, Pandas, NumPy, SciPy). ○ Strong command of SQL for data extraction and manipulation from various databases. - Extensive experience with machine learning techniques (e.g., supervised, unsupervised, reinforcement learning), statistical modeling, hypothesis testing, and experimental design (A/B testing). Analytical Skills - Exceptional problem-solving abilities, with a strong analytical mindset and aention to detail. Ability to translate business problems into quantitative questions and actionable solutions.  Nice-to-Haves - Experience with Marketing Mix Modeling (MMM) or Multi-Touch Aribution (MTA) models for marketing aribution. Experience with big data technologies (e.g., Spark, Hadoop, Flink). - Familiarity with cloud plaorms (e.g., AWS, GCP, Azure) and their data science services. Experience with notebook visualization tools (Hex, Deepnote, Jupyter Notebooks, etc.). Knowledge of causal inference methods. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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Join our client's team as an Editor - AI Trainer and play a key role in advancing AI-driven content solutions. You'll leverage your editing skills to refine written materials for clarity, accuracy, and structure, while training state-of-the-art AI systems to achieve editorial excellence. This is an exciting opportunity for those passionate about enhancing the quality of written communication and driving AI innovation from anywhere in the world. Key Responsibilities:- Review, revise, and improve manuscripts, articles, and various written materials for grammar, structure, and clarity.- Collaborate with AI teams to train and assess AI models on editorial best practices and standards.- Evaluate AI-generated content, offering detailed feedback and recommendations for improvement.- Plan and manage editorial workflows, ensuring smooth transitions from drafts to publication-ready materials.- Assess proposals and drafts for publication suitability, suggesting structural or stylistic changes as necessary.- Document editing processes and contribute to developing editorial guidelines for AI training purposes.- Communicate effectively with multidisciplinary teams to ensure alignment on editorial expectations and quality standards. Qualifications:- Exceptional written and verbal communication skills with meticulous attention to detail.- Demonstrated expertise in editing, grammar, and content structuring across various formats.- Experience revising and evaluating manuscripts or articles for publication or digital platforms.- Strong organizational skills with the capacity to manage multiple projects and deadlines in a remote work setting.- A collaborative mindset and openness to feedback in a dynamic, fast-paced environment.- Familiarity with AI writing tools or a strong interest in advancing AI-driven editorial workflows.- Commitment to maintaining high editorial standards and a dedication to continuous learning. Preferred Qualifications:- Bachelor’s or advanced degree in English, Journalism, Communications, or a related field.- Prior experience training or evaluating AI tools in editorial contexts.- Subject matter expertise in specialized domains (e.g., technical, scientific, medical, or educational content). About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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Join our client's team as a Compliance Specialist and play a crucial role in shaping ethical and regulatory standards for advanced AI applications. This opportunity allows you to leverage your expertise in regulatory frameworks, audits, and policy adherence to ensure AI models operate within legal and ethical boundaries. Your insights will directly impact the development of responsible, trustworthy AI systems. Key Responsibilities:- Educate AI systems by providing detailed guidance on compliance protocols, regulatory requirements, and industry best practices.- Simulate real-world compliance evaluation scenarios and risk assessments to enhance AI learning and responsiveness.- Collaborate with technical teams to integrate compliance insights into model development and decision-making processes.- Continuously update and refine compliance documentation to reflect evolving regulatory landscapes.- Monitor and assess AI model outputs for alignment with legal, ethical, and organizational standards.- Participate in internal audits and contribute to the creation of robust compliance monitoring tools and processes.- Serve as a subject matter expert, addressing compliance-related queries and creating training materials.] Qualifications:- Demonstrated experience in compliance, regulatory affairs, or a related field, with a strong understanding of global regulatory frameworks.- Exceptional written and verbal communication skills, with the ability to convey complex regulatory concepts clearly and effectively.- Proven ability to conduct audits, risk assessments, and policy evaluations.- Strong analytical skills with meticulous attention to detail and accuracy.- Experience working cross-functionally in diverse or distributed teams.- Ability to adapt to rapidly changing regulatory environments.- High ethical standards and a commitment to fostering responsible AI practices. Preferred Qualifications:- Prior experience educating or advising on compliance in technology, fintech, or AI-driven environments.- Certifications in compliance, risk management, or related disciplines (e.g., CRCM, CCEP, CAMS).- Familiarity with AI, machine learning, or data science regulatory considerations. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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We are seeking a Machine Learning Engineer Specialist- AI Trainer to join one of our clients. You'll play a critical role in advancing AI models by reviewing and refining outputs generated by cutting-edge large language models (LLMs). By applying your expertise in machine learning, data science, and technical domains, you'll ensure that model outputs maintain high standards of technical accuracy, relevance, and consistency. This role combines analytical thinking with hands-on data quality work, offering research-grade insights into model evaluation and improvement. Responsibilities:- Use internal tools to evaluate and critique AI-generated outputs, focusing primarily on technical and scientific domains.- Review complex model responses and suggest improvements with an emphasis on clarity, correctness, and domain relevance.- Contribute to the curation and refinement of datasets used to train and fine-tune AI/ML models.- Collaborate closely with cross-functional AI teams to identify data patterns, edge cases, and model blind spots.- Stay updated on model behaviors and guidelines as they evolve, applying sound judgment to nuanced annotation tasks. Qualifications:- MS or PhD in Computer Science, Machine Learning, Data Science, or a related technical field.- Alternatively, 3+ years of professional experience as a Machine Learning Engineer or Data Scientist at a top-tier company (e.g., FAANG, leading startups, AI labs).- Strong grasp of core machine learning concepts, model training workflows, and evaluation strategies.- Experience with LLMs, NLP systems, or applied ML in production settings is highly desirable.- Ability to assess complex technical information and provide constructive, detail-oriented feedback.- Excellent written communication skills, both for technical and explanatory writing.- Ability to operate independently with sound judgment under ambiguous conditions.- Passion for AI development, data quality, and technological advancement. Nice to have:- Publications in machine learning, AI, or computer science journals/conferences.- Experience working with human feedback loops in ML systems (e.g., RLHF, data annotation, model alignment).- Teaching, mentoring, or technical writing experience in ML or related technical domains.- Exposure to generative AI applications or prompt engineering. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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Join our customer's team as a Financial Services Sales Agent and play a crucial role in shaping the future of client engagement and market expertise. You will skillfully simulate real-world decision-making and communication processes found in trading and financial advising, aiding the development of advanced AI systems. This position is ideal for those passionate about market dynamics, securities, and delivering exceptional client interactions. Key Responsibilities:- Engage with clients to understand their financial goals and recommend suitable securities, commodities, or financial products.- Simulate trading and advisory scenarios to inform AI learning and capture the nuances of financial sales processes.- Monitor market trends, analyze financial data, and maintain up-to-date product knowledge to provide informed recommendations.- Create clear and persuasive written and verbal communications to build client confidence and ensure successful transactions.- Support AI model training by replicating authentic sales strategies and client interactions.- Collaborate with other experts to continuously refine and improve simulation scenarios and product offerings.- Uphold high ethical standards and compliance with industry regulations in all aspects of financial advising and sales. Qualifications:- Proven experience in securities, commodities, or financial services sales, with a strong understanding of market dynamics.- Exceptional written and verbal communication skills, with the ability to convey complex financial concepts clearly.- Demonstrated ability to simulate decision-making and client interactions in a realistic, professional manner.- Solid knowledge of financial products and current market trends.- Experience interfacing with clients, providing tailored solutions, and managing relationships.- Comfort working independently in a fully remote environment.- Strong analytical and problem-solving skills. Preferred Qualifications:- Prior experience supporting or collaborating on AI-driven projects in financial services.- Relevant certifications such as Series 7, Series 63, or equivalent regulatory qualifications.- Background in training, coaching, or developing best practices for sales teams or technology solutions. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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We are seeking Ph.D.-level astrophysicists to collaborate with AI researchs and contribute to the development of next-generation intelligent systems. This role offers the chance to apply your expertise in fields such as cosmology, stellar physics, exoplanets, plasma dynamics, or computational astrophysics to train advanced AI models capable of reasoning through complex scientific phenomena. You'll work alongside AI teams to teach models how astrophysicists analyze data, build theories, interpret observations, and explain cosmic-scale systems, enhancing AI’s ability to support science education, discovery, and simulation. Qualifications:- +5 years of research and academic experience in fields such as stellar physics, planetary science, cosmology, gravitational lensing, etc.- Hold a Ph.D. in Astrophysics, Astronomy, or a related field - Possess strong verbal and written communication skills.- Exhibit strong attention to detail. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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Your impactHandshake is building the future of human data for AI.We partner directly with top AI labs to power large language model (LLM) training and evaluation with high-quality, expert-generated data. As AI models become more sophisticated, the demand for specialized human input continues to grow—and Handshake is uniquely positioned to meet it. We power career platforms at 92% of the top U.S. universities, giving us direct access to verified expert talent across a wide range of domains.Our AI team is rapidly building a new generation of human data products—from expert annotation platforms to AI interviewers and seamless payout infrastructure—all designed to accelerate research and improve model performance.We’ve assembled a world-class team from YC, Notion, Scale, Coinbase, Palantir, and more, and we’re working directly with many of the world’s leading AI research labs. This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.We're looking for a Research Engineer to join our Handshake AI Research team, where you'll help shape what the next generation of AI models can achieve. This is a hands-on, high-impact role focused on post-training methodologies, specialized domain data verification, and creating cutting-edge LLM benchmarks that measure real-world impact.As a Research Engineer, you'll bring deep technical skill, curiosity, and rigor to every stage of the research-to-deployment pipeline—whether it's designing robust distributed infrastructure for massive experiments, writing high-performance ML code, or developing benchmarks and evaluations that define the future of AI capabilities.Location: San Francisco, CAYour roleDesign and implement post-training systems and methodologies in close partnership with research scientists and domain expertsBuild and maintain infrastructure that supports large-scale model training, specialized data processing, and benchmark evaluationDevelop robust frameworks for verifying the quality and integrity of highly specialized domain datasetsCreate next-generation LLM benchmarks that push the boundaries of model evaluation and capabilities assessmentOptimize performance across software and hardware layers to accelerate post-training experimentation and deploymentCollaborate across disciplines to ensure rigorous validation of model improvements and benchmark reliabilityYour experienceStrong Python programming skills with attention to clean, efficient, and scalable codeExperience building and operating large-scale systems for model post-training, specialized data processing, or benchmark evaluationDeep familiarity with PyTorch and modern post-training techniques (RLHF, constitutional AI, etc.)A background in applied machine learning, model evaluation, or large-scale data quality assessmentExperience with benchmark design, evaluation methodologies, and performance measurement frameworksClear communication skills and a collaborative mindset for cross-functional research teamsNice to HaveExperience optimizing deep learning models for performance (e.g., memory usage, training speed)Interest in the societal and ethical impacts of AI technologiesContributions to open-source ML infrastructure or toolsWhy Join UsThis is a rare opportunity to help define how the world’s top labs build, test, and evaluate cutting-edge AI systems. You’ll be working with a uniquely high-talent team, tapping into a network of 18 million students and 500K+ PhDs, and shaping foundational infrastructure at a critical moment in the field. If you're excited to build from first principles—and want your work to directly accelerate frontier AI—we'd love to talk.What we offerAt Handshake, we'll give you the tools to feel healthy, happy and secure.Benefits below apply to US employees in full-time positions.💰 Equity and ownership in a fast-growing company.🍼 16 Weeks of paid parental leave for birth giving parents & 10 weeks of paid parental leave for non-birth giving parents.💝 Comprehensive medical, dental, and vision policies including LGTBQ+ Coverage. We also provide resources for Mental Health Assistance, Employee Assistance Programs and counseling support.📚 Generous learning & development opportunities and an annual $2,000 stipend for you to grow your skills and career.💰 Financial coaching through Origin to help you through your financial journey.🛜 Monthly internet stipend and a brand new MacBook to allow you to do your best work.🚃 Monthly commuter stipend for you to expense your travel to the office (for office-based employees).🥗 Free lunch provided 5x a week in office.🏋️ Free gym access in San Francisco office building.🤝 Referral bonus to reward you when you bring great talent to Handshake.🧗🏼Team outings throughout the year to stay connected to each other.🏦 401k Match: Handshake offers a dollar-for-dollar match on 1% of deferred salary, up to a maximum of $1,200 per year.🏝 All full-time US-based Handshakers are eligible for our flexible time off policy to get out and see the world. In addition, we offer 13 standardized holidays, and 2 additional days of flexible holiday time off. Lastly, we have a Winter #ShakeBreak, a one-week period of Collective Time Off.💻 Handshake offers $500 home office stipend for you to spend during your first 3 months to create a productive and comfortable workspace at home.🍼 Family support: Parental leave coaching and support provided by Parentaly. We partner with Maven Clinic to provide a lifetime coverage up to $15K for expenses related to fertility and family forming!💰 Lifestyle Savings Account: We offer you an annual stipend of $500 to use for purchases such as fitness classes, gym memberships, work-from-home setup, and more.Looking for more? Explore our mission, values and comprehensive US benefits at joinhandshake.com/careers.Handshake is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please let your recruiter know during initial communications.

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Join our client's team as a Geologist – AI Trainer, where your geological expertise will help shape the next generation of artificial intelligence models in earth sciences. In this groundbreaking role, you'll use your knowledge of field mapping, rock and mineral identification, and geoscience data analysis to train AI systems on complex geological concepts. This is a unique opportunity to influence cutting-edge AI technology while working with passionate professionals in a fully remote setting. Key Responsibilities:- Develop high-quality training data and validate AI outputs on geology topics, ensuring accuracy and relevance.- Apply field mapping and sampling experience to create realistic geological scenarios and case studies.- Annotate and review geological datasets, including rock, mineral, and stratigraphic information, for AI learning.- Collaborate with data scientists and AI engineers to translate geoscience concepts into actionable AI training tasks.- Utilize GIS tools to enhance spatial data representation and interpretation for machine learning applications.- Draft comprehensive technical documentation and training materials that reflect best geological practices.- Provide feedback and insights to refine AI models, drawing on expertise in structural geology, geochemistry, and geophysics. Qualifications:- Bachelor’s or Master’s degree in Geology, Earth Sciences, or a related discipline.- Proven experience in field mapping and sampling, and rock and mineral identification.- Solid understanding of stratigraphy, sedimentology, and structural geology.- Competency in geochemistry and geophysics fundamentals.- Proficient with Geographic Information Systems (GIS) and geoscientific data analysis.- Strong skills in core logging, well logging, and technical report writing.- Exceptional written and verbal communication skills, with strong attention to detail and clarity. Preferred Qualifications:- Experience in AI, data annotation, or machine learning projects related to geosciences.- Advanced experience with GIS analysis or geological modeling software.- Demonstrated ability to convey complex scientific concepts to cross-functional technical teams. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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Ryz Labs is looking for experienced and credentialed art historians with a Master’s or PhD in art or art history to support a high-impact AI training initiative. This role involves curating and annotating diverse artwork from modern, historic, and culturally significant traditions. Candidates will label visual materials across various mediums, contextualize stylistic elements, and identify key artistic features to aid in the development of next-generation AI models. Responsibilities:- Analyze and annotate images of artwork across various historical periods and cultural contexts.- Accurately label works by medium, technique, movement, and artist where appropriate.- Provide contextual information on style, influence, and cultural relevance.- Ensure consistency and precision in annotations based on art historical standards.- Collaborate with technical teams to refine project requirements and outputs. Requirements:- Master’s or PhD in art or art history.- Deep expertise in modern, historic, and culturally significant artworks.- Strong fluency across artistic mediums, including painting, sculpture, photography, and more.- Preferred experience in teaching art history or curating museum or gallery exhibitions.- Comfortable using digital tools and adapting knowledge to AI-focused workflows.- Excellent written communication skills and a client-oriented mindset.- We are seeking a commitment of 30–40 hours per week but may consider 20+ hours for exceptional candidates. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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AI Engineer (Contract-to-Hire)Location: Remote (Global) Start Date: Rolling Compensation: $75/hour for first 4 weeks (contract-to-hire trial)Please apply using the provided form, candidates who directly email will not be considered.About The ProjectWe're building AI-native engineering team within Infinity, a holding company building full-stack AI businesses. We support portfolio companies by:Rapidly prototyping new product ideas to validate marketsProviding flex capacity during high-growth phasesMaintaining and evolving the Infinity Commons, our shared library of frameworks, prompts, and reusable toolsWe’re not a dev shop. We’re a surgical team of builders who move fast, reduce ambiguity, and create leverage across a network of founders building with AI at the core.The RoleWe’re looking for scrappy, sharp, execution-focused engineers who thrive in high-context, high-autonomy environments. You'll be deployed on fast-moving projects—from validating ideas in one-week sprints to helping scale production tools inside early-stage companies.This is a contract-to-hire role. The first month is a paid trial at $75/hour. If there’s mutual fit, you’ll transition to a full-time or retainer-based role within the core team.What You’ll DoBuild working prototypes of agentic AI applications, LLM workflows, and full-stack productsExperiment quickly across frameworks (e.g. LangChain, CrewAI, AutoGen), open source tools, and low-code stacksInterface directly with product thinkers and founders to distill ambiguous ideas into testable codeContribute to shared internal libraries and the Infinity CommonsOccasionally embed with portfolio companies to support launches or unblock executionWhat We’re Looking ForRequired:Fluency in Python and experience using AI toolkits and APIsExperience rapidly building and iterating on proof-of-concept or MVPsComfort using a blend of commercial APIs, open source, and low-code tooling to get things doneStrong problem-solving skills and analytical intuitionBonus Points:Prior work with AI agents, vector databases, or retrieval-augmented generation (RAG)Experience with frontend development (React, Next.js, etc.)A background in a STEM discipline, data science, or quant-heavy engineeringPrevious experience in a venture-backed startup or technical founder roleHow We WorkAsynchronous by default, with tight feedback loops and clear ownershipHigh-trust, high-autonomy culture that values shipping, learning, and iteratingSmall, elite team of senior builders with experience across AI, product, and infrastructureHow to ApplySend us:A short note in the application form on why this role fits you Links to past work, projects, or GitHub.Availability to start the contract phaseWe’ll move quickly. If it feels like a fit, you’ll be coding real things with us within a week.

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Join our client's team as a Lawyer and play a vital role in creating innovative AI-based legal training solutions. We are looking for distinguished legal professionals with a strong foundation in various legal fields and a passion for clear, effective communication. This unique opportunity lets you leverage your legal expertise to shape the future of legal practice while working remotely. Key Responsibilities:- Clearly explain complex laws and regulations to diverse audiences to ensure accurate understanding.- Analyze legal outcomes, referencing precedent cases to guide best practices and decision-making.- Collect, evaluate, and synthesize evidence, in addition to conducting interviews relevant to casework and training scenarios.- Represent client interests in virtual court simulations and engage with regulatory bodies.- Develop and provide legal advice, case strategies, and process improvements tailored to real-world scenarios.- Draft, review, and refine legal documents, including contracts and wills, ensuring accuracy in legal language and compliance.- Facilitate negotiations and settlements while upholding ethical standards and best practices. Qualifications:- Outstanding written and verbal communication skills, capable of translating legal jargon into easily understandable language.- Demonstrated critical thinking, analytical, and problem-solving skills.- Proven listening skills and attention to detail, particularly during evidence review and client interviews.- Strong decision-making and negotiation skills with a focus on achieving results.- Current knowledge of relevant laws, regulations, and industry trends.- Proficiency with legal research tools (e.g., LexisNexis), case management systems, and standard office software.- Juris Doctor (JD) degree or equivalent professional legal qualification. Preferred Qualifications:- Experience in a role as an Attorney, General Counsel, or within a prosecutorial setting.- Background in training, mentoring, or developing educational legal content.- Familiarity with AI, emerging legal technologies, or legal tech platforms. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. As an AI Tutor - Data Science specialist, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems where your expertise can drive significant improvements in model performance. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. The AI Tutor - Data Science role is remote position and there are full-time and part-time positions available (please see the bottom of this job description for more details). Responsibilities: Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff  to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Regularly require you to interpret, analyze, and execute tasks based on given instructions. Key Qualifications: Must be either an IMO medalist (or similar competition medalist) or possess a Master's or PhD in a data science related field. Proficiency in reading and writing, both in informal and professional English. Strong research skills, and the ability to navigate various information resources, databases, and online resources are essential. You display outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material. You have a strong passion for and commitment to technological advancements and innovation. Preferred Qualifications: Possesses research experience with at least one publication in a reputable journal or outlet. Has previous AI Tutoring experience. Teaching experience (as a professor, teacher, or tutor). You possess experience in technical writing, journalism, or a professional writing setting. Professional background as a Data Scientist Additional Requirements: Available to work evenings and weekends, as the schedule varies depending on team operational needs; flexibility is required. Demonstrates a strong capacity to quickly adapt by learning new skills and unlearning outdated ones, thriving in dynamic and changing environments. For those who will be working from a personal device, please note your computer must be capable of running Windows 10 or macOS BigSur 11.0 or later. Location, Hourly, and Other Expectations: This position is fully remote. We are unable to provide visa sponsorship. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. Please indicate your interest in either full-time, part-time, or either in the application. Note that: Part-Time (20-29 hours per week): While hours are flexible around your schedule, you must be committed to working at least 20 hours per week (with at least 10 of these hours worked on weekdays) and no more than 29 hours per week. Full-Time (40 hours per week): Ideal full-time schedules are 9-5:30pm in your local time zone. However, flexible hours can be be offered. Compensation and Benefits: The pay for this role may range from $35/hr - $65/hr. Your actual pay will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. For full-time roles, benefits will include medical insurance and specific benefits vary by country.  We do not offer benefits for part-time roles. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Join our customer's team as a Customer Service Representative and be instrumental in shaping how AI systems engage with real customers. You will use your expertise to not only directly assist customers but also to train AI in managing service inquiries, modeling a professional tone, and resolving issues efficiently. Your contributions will be key in ensuring outstanding customer satisfaction across various industries. Key Responsibilities:- Respond thoughtfully to customer inquiries and complaints across multiple channels, including chat, email, and phone.- Demonstrate and model effective de-escalation techniques and conflict resolution strategies for both customers and AI learning modules.- Collaborate with cross-functional teams to capture, analyze, and improve customer service interactions.- Provide actionable feedback to enhance AI’s ability to handle complex service scenarios and deliver human-like responses.- Maintain accurate, detailed records of all customer interactions and resolutions.- Support the continuous training and refinement of AI tools by providing real-world examples of superior customer service.- Champion a customer-first mindset, ensuring every interaction prioritizes satisfaction and positive outcomes. Qualifications:- Exceptional written and verbal communication skills, with an empathetic and personable approach.- Proven experience in a customer service or support role, preferably in a fast-paced environment.- Strong problem-solving skills and the ability to stay composed under pressure.- Demonstrated ability to de-escalate challenging situations and turn dissatisfied customers into loyal advocates.- Comfort working independently in a remote environment while contributing to a larger team effort.- Tech-savvy, with the ability to quickly learn and navigate new AI-driven systems and platforms.- Meticulous attention to detail and commitment to maintaining high standards of professionalism. Preferred Qualifications:- Experience training, mentoring, or guiding others in customer service best practices.- Background in supporting or training AI or machine learning applications.- Multilingual abilities or experience serving diverse customer bases. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect: - Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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The Software Applications Engineer will provide technical expertise and support to customers during the implementation and use of Shield AI enterprise software products. This role involves working closely with customers to understand their requirements and ensuring successful product integration for AI & Autonomy development. 

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Join our client's team as a Film and Video Editor - AI Trainer and utilize your industry expertise to shape the future of AI-driven editing. In this role, you will empower artificial intelligence to grasp the artistry of storytelling through editing, pacing, and post-production workflows, ensuring intelligent systems capture the nuance and creativity that human editors bring. Key Responsibilities:- Train AI models on film and video editing principles, focusing on storytelling, shot selection, and visual narratives.- Collaborate with technical teams to provide annotated examples, feedback, and guidance for editing tasks.- Curate and organize video assets, working alongside producers or directors to optimize workflows for final production.- Edit or synchronize soundtracks with visuals to achieve seamless audio-visual integration.- Evaluate and refine AI-generated edits, offering detailed written and verbal feedback to enhance learning.- Advocate for best practices in pacing, synchronization, and visual clarity within the AI editing process.- Maintain clear communication with cross-functional teams, ensuring alignment on project goals and deliverables. Qualifications:- Proven expertise in editing moving images on film, video, or digital media platforms.- Strong proficiency in industry-standard editing software (e.g., Adobe Premiere Pro, Final Cut Pro, DaVinci Resolve).- Exceptional written and verbal communication skills, with great attention to clarity and detail.- Experience working with producers or directors to achieve a creative vision in post-production.- Solid understanding of synchronization, pacing, and visual storytelling techniques.- Ability to provide structured, actionable feedback and effectively document processes.- Self-motivated, proactive, and comfortable working remotely in a collaborative setting. Preferred Qualifications:- Experience in training AI or working closely with machine learning teams in a creative context.- Background in teaching, creative mentorship, or editorial leadership roles.- Familiarity with workflows that integrate both sound and image editing (excluding specialized sound engineering technicians). About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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Your impactHandshake is building the future of human data for AI.We partner directly with top AI labs to power large language model (LLM) training and evaluation with high-quality, expert-generated data. As AI models become more sophisticated, the demand for specialized human input continues to grow—and Handshake is uniquely positioned to meet it. We power career platforms at 92% of the top U.S. universities, giving us direct access to verified expert talent across a wide range of domains.Our AI team is rapidly building a new generation of human data products—from expert annotation platforms to AI interviewers and seamless payout infrastructure—all designed to accelerate research and improve model performance.We’ve assembled a world-class team from YC, Notion, Scale, Coinbase, Palantir, and more, and we’re working directly with many of the world’s leading AI research labs. This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.We’re seeking Research Scientists to join our Handshake AI Research team, where you’ll conduct pioneering research that pushes the boundaries of LLM understanding and evaluation. You’ll work at the frontiers of model comprehension, advanced evaluation methodologies, and the intersection of human and AI knowledge systems, with the goal of building the future of how we understand and measure AI capabilities.As a Research Scientist, you’ll collaborate closely with engineers and cross-functional teams to transform fundamental insights into breakthrough evaluation frameworks and understanding paradigms. Whether you’re developing novel approaches to probe model understanding, creating sophisticated benchmarks that reveal emergent capabilities, or establishing new methodologies for measuring AI-human knowledge alignment; you’ll help define how we comprehend and assess the next generation of AI systems.Location: San Francisco or New York CityYour roleDesign and conduct original research in LLM understanding, evaluation methodologies, and the dynamics of human-AI knowledge interactionDevelop novel evaluation frameworks and assessment techniques that reveal deep insights into model capabilities and limitationsCollaborate with engineers to transform research breakthroughs into scalable benchmarks and evaluation systemsPioneer new approaches to measuring model understanding, reasoning capabilities, and alignment with human knowledgeWrite high-quality code to support large-scale experimentation, evaluation, and knowledge assessment workflowsPublish findings in top-tier conferences and contribute to advancing the field’s understanding of AI capabilitiesWork with cross-functional teams to establish new standards for responsible AI evaluation and knowledge alignmentYour experiencePhD or equivalent research experience in machine learning, computer science, cognitive science, or a related field with focus on AI evaluation or understandingStrong background in LLM research, model evaluation methodologies, interpretability, or foundational AI assessment techniquesDemonstrated ability to independently lead post training and evaluation research projects from theoretical framework to empirical validationProficiency in Python and deep experience with PyTorch for large-scale model analysis and evaluationExperience designing and conducting experiments with large language models, benchmark development, or systematic model assessmentStrong publication record in post training, AI evaluation, model understanding, interpretability, or related areas that advance our comprehension of AI capabilitiesAbility to clearly communicate complex insights about model behavior, evaluation methodologies, and their implications for AI developmentNice to HaveExperience with RL, agent modeling, or AI alignmentFamiliarity with data-centric AI approaches, synthetic data generation, or human-in-the-loop systemsUnderstanding of the challenges in scaling foundation models (e.g., training stability, safety, inference efficiency)Contributions to open-source AI libraries or research toolingInterest in shaping the societal impact, deployment ethics, and governance of frontier modelsWhy Join UsThis is a rare opportunity to help define how the world’s top labs build, test, and evaluate cutting-edge AI systems. You’ll be working with a uniquely high-talent team, tapping into a network of 18 million students and 500K+ PhDs, and shaping foundational infrastructure at a critical moment in the field. If you're excited to build from first principles—and want your work to directly accelerate frontier AI—we'd love to talk.What we offerAt Handshake, we'll give you the tools to feel healthy, happy and secure.Benefits below apply to US employees in full-time positions.💰 Equity and ownership in a fast-growing company.🍼 16 Weeks of paid parental leave for birth giving parents & 10 weeks of paid parental leave for non-birth giving parents.💝 Comprehensive medical, dental, and vision policies including LGTBQ+ Coverage. We also provide resources for Mental Health Assistance, Employee Assistance Programs and counseling support.📚 Generous learning & development opportunities and an annual $2,000 stipend for you to grow your skills and career.💰 Financial coaching through Origin to help you through your financial journey.🛜 Monthly internet stipend and a brand new MacBook to allow you to do your best work.🚃 Monthly commuter stipend for you to expense your travel to the office (for office-based employees).🥗 Free lunch provided 5x a week in office.🏋️ Free gym access in San Francisco office building.🤝 Referral bonus to reward you when you bring great talent to Handshake.🧗🏼Team outings throughout the year to stay connected to each other.🏦 401k Match: Handshake offers a dollar-for-dollar match on 1% of deferred salary, up to a maximum of $1,200 per year.🏝 All full-time US-based Handshakers are eligible for our flexible time off policy to get out and see the world. In addition, we offer 13 standardized holidays, and 2 additional days of flexible holiday time off. Lastly, we have a Winter #ShakeBreak, a one-week period of Collective Time Off.💻 Handshake offers $500 home office stipend for you to spend during your first 3 months to create a productive and comfortable workspace at home.🍼 Family support: Parental leave coaching and support provided by Parentaly. We partner with Maven Clinic to provide a lifetime coverage up to $15K for expenses related to fertility and family forming!💰 Lifestyle Savings Account: We offer you an annual stipend of $500 to use for purchases such as fitness classes, gym memberships, work-from-home setup, and more.Looking for more? Explore our mission, values and comprehensive US benefits at joinhandshake.com/careers.Handshake is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please let your recruiter know during initial communications.

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Seeking a Program Manager to lead a Direct Commercial Sale program for an international customer which will deliver transformative unmanned aerial vehicle (UAV) systems.  

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Gauss Labs is looking for a passionate and talented AI Engineer for developing cutting-edge Industrial AI solutions that will normalize the standard of AI for manufacturing. We are working with the world's best manufacturing customers while accessing the vast amount of real data from their manufacturing processes. We apply state-of-the-art AI technologies to the data and develop unprecedented AI/ML solutions to transform manufacturing to the next level.As an AI Engineer, you will be responsible for translating cutting-edge AI and machine learning research into robust, scalable software solutions. Your work will ensure the seamless integration of models into production environments and contribute to the broader success of AI initiatives across the company. You will develop AI software by working with seasoned Applied Scientists, Software Engineers, and Program Managers located in Palo Alto, California, USA and Seoul, South Korea.