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  About the Company Armada is a full-stack edge infrastructure company delivering compute, connectivity, and sovereign AI/ML to some of the world’s most remote places. Named one of Fast Company's Most Innovative Companies, Armada’s solutions are deployed in over 60 countries globally for organizations ranging from energy to defense.    With over $200 million in funding, Armada is backed by top investors such as Microsoft (M12), Founders Fund, and has strategic partnerships including Starlink, Skydio, and NVIDIA. We are looking for the most brilliant minds in the world to join us.    Working at Armada means taking ownership, driving autonomy, and delivering impact. You’ll tackle challenges that haven’t been solved before and help build something transformative from the ground up. What you do here will not only define your career but help further Armada’s mission to bridge the digital divide for customers around the world.      About the role At Armada, we are unlocking the limitless potential of AI to transform operations and improve lives in some of the most remote locations on Earth. From the expansive mines of Australia to the oil fields of Northern Canada, and the coffee plantations of Colombia, Armada offers a unique opportunity to tackle exciting AI and ML challenges on a global scale. We are actively seeking passionate AI Engineers with hands-on expertise across a range of domains, including real-time computer vision, statistical machine learning, natural language processing, transformers, control and navigation, reinforcement learning, and large-scale distributed AI systems. Ideal candidates will possess strong skills in machine learning (ML), deep learning (DL), and real-time computer vision techniques. You will be responsible for building ML/DL models tailored to specific challenges, preparing datasets for testing, evaluating model performance, and deploying solutions in production environments. Familiarity with containerization, microservices architecture, and the ability to independently deploy ML models into production is essential. If you are a self-driven individual with a passion for cutting-edge AI, we want to hear from you. Armada offers an unparalleled opportunity to confront some of the most thrilling AI and ML challenges in the world. Join our dynamic AI Engineering team as we deliver disruptive edge-compute systems capable of autonomous learning, prediction, and adaptation using vast, real-time datasets. We are pioneers in developing high-performance computing solutions for self-driving cars, camera networks, robotics, drones, conversational agents, and real-time monitoring and diagnostic systems. Our vision is to empower AI systems to seamlessly and securely interact with the complexities and uncertainties of the real world, and our mission is to bridge the digital divide in the process.  Location. This role is office-based at our Bellevue, Washington office.  What You'll Do (Key Responsibilities) Translating business requirements into requirements for AI/ML models. Preparing data to train and evaluate AI/ML/DL models. Building AI/ML/DL models by applying state-of-the-art algorithms, especially transformers. In some cases, leverage existing algorithms from academic or industrial research. Testing, evaluating the AI/ML/DL models, benchmarking their quality, and publishing the models, data sets, and evaluations. Deploying the models in production by containerizing the models. Working with customers and internal employees to refine the quality of the models. Establishing continuous learning pipelines for models with online learning or transfer learning. Building and deploying containerized applications on the cloud or on-premise environments Required Qualifications BS or MS degree in computer science, computational. science/engineering, or related technical field (or equivalent experience). 3+ years of work-related experience in software development with good Python, Java, and/or C/C++ programming skills. Familiarity with containers, numeric libraries, modular software design. Hands-on expertise with traditional statistical machine learning techniques as well as deep-learning and natural language processing modeling. Expertise in supervised, unsupervised, and transfer learning techniques. Hands-on expertise in machine learning techniques and algorithms with a strong background in state-of-the-art DNN architectures (Transformers, CNN, R-CNN, RNN, BERT, GAN, autoencoders, etc.) and experience in developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow, etc). Experience with solving and using machine learning for real-world problems. Preferred Experience and Skills Demonstrable experience in building, programming, and integrating software and hardware for autonomous or robotic systems. Proven experience producing computationally efficient software to meet real-time requirements. Background with container platforms such as Kubernetes. Strong analytical skills with a bias for action. Strong time-management and organization skills to thrive in a fast-paced, dynamic environment. Solid written and oral communications skills. Good teamwork and interpersonal skills. Compensation For U.S. Based candidates: To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications. In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request). Benefits Competitive base salary and equity Medical, dental, and vision (subsidized cost) Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA) Retirement plan options, including 401(k) and Roth 401(k) Unlimited paid time off (PTO) 14 paid company holidays per year #LI-SM2 #LI-Onsite   Compensation$154,560—$193,200 USD  You're a Great Fit if You're A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge  A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude  Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda  Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you    Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.   Unsolicited Resumes and Candidates Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.  

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Our lab sits at the intersection of world models, video generation, and robotics, building systems that represent complex environments, reason about objects and dynamics, and translate high-level AI intentions into smooth, efficient, safe, and responsive actions across a variety of robotic embodiments. What You’ll Do:Lead the design and execution of our AI’s robotics research agendaRecruit, mentor, and manage a small team of research scientists and engineers in our London labCollaborate with the world model and simulation teams to develop state-of-the-art training platforms for roboticsGuide the creation of persistent 3D/4D scene representations and advanced embodied AI methodologiesDrive research efforts in scene understanding, sim-to-real transfer, and advanced planningFoster partnerships with leading ML researchers, hardware specialists, and external collaboratorsHelp establish the lab's technical culture and external reputationAreas of Interest: We are especially interested in candidates excited to work on:World models for embodied systems3D/4D generative modelsScene reconstruction and understandingEmbodied AIObject-level and semantic SLAMMultimodal AIWhat We’re Looking For:Strong background in robotics, computer vision, or related areasExperience leading or managing small technical or research teamsHands-on expertise with 3D perception, scene representations, world models, or simulationExcellent programming skills (Python, C++, or similar)Entrepreneurial spirit and excitement about building in a startup or early-stage lab environmentAbility to work effectively across machine learning, perception, and robotics disciplinesOutstanding communication and team-building skills

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We are an AI research lab building foundational intelligence for the physical world.Our models are designed to solve complex real-world challenges, powering everything from intelligent robots to next-generation wearables and media.We work at the intersection of world models, video generation, and robotics, building systems that represent complex environments, reason about objects and dynamics, and translate high-level AI intentions into smooth, efficient, safe, and responsive actions across a variety of robotic embodiments.You will collaborate closely with ML researchers developing multimodal world models and generative systems, and with hardware teams and partners to ensure robotic platforms, sensing, and system dynamics behave optimally in real-world operation. What You’ll DoBuild the Foundation: Collaborate with our world model team to build state-of-the-art training and simulation platform for robotics.Build the "World": Develop persistent 3D/4D scene representations that maintain temporal consistency.Drive Intelligence: Unlock advanced robotics planning and decision making through our in-house, cutting-edge world models.Sim2Real: Ensure sensing and system dynamics perform reliably in high-stakes, real-world operations, where models think, simulate, and act.Push Boundaries: Partner with top ML researchers to innovate on generative models and physical AGI.Areas of InterestWe are particularly excited about candidates working on topics such as:World models for embodied systems3D / 4D generative models3D reconstruction and scene understandingEmbodied AIObject-level / semantic SLAMEmbodied AIMultimodal AI What We’re Looking ForBackground in robotics, or computer visionExperience with 3D perception, scene representations, or world modelsExperience working with robotic systems, simulation, or real-world platformsStrong programming skills (Python, C++, or similar)Ability to work across machine learning, perception, and robotics

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About UsAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.Today, LangChain, LangGraph, LangSmith, and Fleet are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.About the Role: We are looking for an GTM Engineer where you won’t just be using our tools—you’ll be the "First Customer," building the AI-native systems that power our technical support, onboarding, and customer success engines.You will own the technical roadmap for how LangChain supports its users. Your goal is to drive massive case deflection and a premium onboarding experience by building autonomous agents that solve complex technical problems before a human ever needs to step in. This is a role for a builder-operator who can identify a friction point in the customer journey and ship a production-grade agentic solution to fix it.You Will:Architect Customer Agents: Design and deploy production-grade agents (using LangGraph and LangSmith) that handle technical support queries, troubleshoot integrations, and guide users through complex onboarding flows.Drive Case Deflection: Analyze customer friction points and build self-service AI systems that significantly reduce support volume while improving the quality of the customer experience.Own the Domain: Act as the product owner and the technical muscle proactively identifying opportunities for improvement, propose architectures, and own the full lifecycle of the systems you build.Dogfood the Stack: Be a key member of the feedback loop for our product team. As you build complex systems for our customers, you’ll identify gaps in our frameworks and contribute back to the LangChain and LangGraph open-source ecosystem.Build Onboarding Workflows: Develop "AI-native onboarding" experiences that help enterprise customers move from prototypes to production faster by automating documentation retrieval and code generation.What we are looking for:AI-Native Developer: You have a deep understanding of the LLM stack: prompting, retrieval (RAG), cognitive architectures, and agentic loops. You have likely already built with LangChain or LangGraph.Engineering Foundation: You are a strong software engineer (typically 3+ years) with at least 1 year of experience specifically shipping LLM systems in production.Self-Directed "Founder" Mentality: You don't need a ticket to tell you what to fix. You are comfortable navigating ambiguity, identifying high-impact problems, and driving them to completion autonomously.Full-Stack Capability: Strong coding skills in Python or TypeScript (ideally both) and the ability to build end-to-end applications.Customer-Centric: You enjoy the intersection of high-level engineering and direct customer impact. You can translate a customer's technical pain point into a scalable system architecture.Nice to Haves:Expertise with LangSmith for evaluation and monitoring.Experience building or maintaining open-source projects.A background in technical consulting, solutions engineering, or high-growth GTM teams.Compensation:We offer competitive compensation that includes base salary, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance.Salary: $160K - $180KCompensation Philosophy:We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.BenefitsBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

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Senior Full Stack EngineerBuild the AI platform that's rewriting a $50B industry. About HaastWe're building one of the first agentic systems for enterprise legal and compliance teams that actually automates their manual work. End-to-end. Delivering 80% faster compliance reviews and 4x productivity gains.We recently closed a $12M USD Series A (Peak XV Partners, DST Global, Airtree) and are ramping hard; building the infrastructure that will completely re-define how enterprises think about compliance. Think Canva for design. Atlassian for projects. Haast for compliance. The ProblemCompliance is a $50B global challenge. Enterprise legal and compliance teams spend a significant amount of time manually reviewing documents against policy, spotting regulatory risk, and signing off on content before go-to-market. It's painful. It scales terribly. It's mission-critical.We're building the infrastructure that makes this manageable at scale. You'll be working on systems that directly reduce risk and unlock productivity for some of the world's largest organisations. The RoleThis is a full-stack role in a high-autonomy engineering team where your code ships to production and directly impacts enterprise customers. You won't be managing legacy systems, you'll be solving hard, high-stakes technical problems with real commercial impact.You'll own end-to-end technical decisions: designing systems, architecting solutions, shipping to production, and iterating based on customer feedback. You'll work directly with our founding team, move fast, and have genuine influence over how we build. What You'll OwnDesign, architect, and operate scalable services and APIs that power our LLM compliance platformArchitecting how our AI insights are surfaced to users, ensuring the system is robust, fast, and intuitive.Make high-impact technical decisions quickly. You challenge "why" and "how" to ensure we are delivering the best possible experience for our users. Shape our engineering culture, standards, and tooling as we grow Who We're Looking ForYou've built systems at meaningful scale, you write clean code with strong reasoning around design, and you genuinely care about how systems work, not just whether they runYou're deep on one or more of: Go, Node.js/TypeScript, or Python and you're comfortable enough on the frontend to contribute when it matters.You understand APIs and distributed systems in production.You've shipped in fast-moving environments. You know what it takes to move without sacrificing reliability. You're curious about how LLMs work and genuinely excited about building on top of them.Why Join HaastReal impact, day one. Your code runs inside the workflows of major global enterprises immediately. It's production-grade work solving real compliance problems.Meaningful equity upside. We're building a generational company in a $50B market. You'll own a meaningful stake in that value creation. We believe in sharing success with the team that builds it.Exceptional learning velocity. Series A is where it gets real. You'll learn more about scaling systems, working with customers, and building products in 12 months here than most roles offer in three years.Engineering-driven culture. No red tape. No performance theatre. Just shipping. We hire smart people and get out of their way.Flexibility and community. Hybrid from our Sydney office, flexible hours, and a team that actually wants to work together.How to ApplyWe're looking for people who've shipped things they're proud of and want to work on a problem that genuinely matters.Apply with:Your CVA brief note on this question: Tell us about a product that you've worked on either at work or in your personal time that you're proud of. No closing date. We review applications on a rolling basis.At Haast, we believe bold ideas come from diverse perspectives. We're committed to building a team that reflects the world we work in. Even if you don't tick every box, we'd love to hear from you.

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Founding Engineer (US)Build the AI platform that's rewriting a $50B industrySalary range - $180-220k USD + Equity + Benefits About HaastWe're building one of the first agentic systems for enterprise legal and compliance teams that actually automates their manual work. End-to-end. Delivering 80% faster compliance reviews and 4x productivity gains.We recently closed a $12M USD Series A (Peak XV Partners, DST Global, Airtree) and are growing fast in the US; building the infrastructure that will completely re-define how enterprises think about compliance.Think Canva for design. Atlassian for projects. Haast for compliance. The ProblemCompliance is a $50B global challenge. Enterprise legal and compliance teams spend a significant amount of time manually reviewing documents against policy, spotting regulatory risk, and signing off on content before go-to-market. It's painful and it's mission-critical.We're building the infrastructure that makes this manageable at scale. You'll be working on systems that directly reduce risk and unlock productivity for some of the world's largest organisations. The RoleAs our first US based Engineer; you'll be the technical bridge between our product vision and our customers' reality. You're a full-stack engineer who thrives at the intersection of innovation and execution, building our platform while staying connected to the teams actually using it.You'll split your time between heads-down building (shipping code that matters) and being engaged with customers, understanding their pain points firsthand, iterating on features in real-time, and using that feedback to shape our product direction. You'll own end-to-end technical decisions: designing systems, shipping to production, and iterating based on direct customer interaction.This is high-autonomy work. You'll collaborate directly with our founding team, move at startup velocity, and have genuine influence over both our architecture and product roadmap.What You'll OwnDesign, architect, and ship full-stack features that directly solve our customers compliance challengesOwn the technical relationship with key customers; implementing solutions, gathering requirements, and translating feedback into product improvementsBuild scalable services and APIs that power our LLM compliance platform while keeping the customer experience front and centerMake high-impact technical decisions quickly, knowing that you'll be accountable to both our engineering standards and our customersChallenge assumptions on "why" and "how", you'll directly influence what we build and how we build itShape our product roadmap and engineering practices as we scale from Series A to market leadershipWho We're Looking ForYou've built full-stack systems at meaningful scale; you're equally comfortable architecting backend services and shipping frontend code that customers interact with dailyYou're deep on one or more of: Go, Node.js/TypeScript, or Python, and you're fluent enough across the stack to own features end-to-endYou understand APIs, distributed systems, and the tradeoffs between speed and reliability in production environmentsYou genuinely enjoy working with customers; you're not just shipping features, you want to understand the human problem you're solvingYou've shipped in fast-moving environments and understand what it takes to move quickly without breaking thingsYou're curious about how LLMs work and excited about building practical applications on top of them, not just the theoryWhy Join HaastCompetitive benefits: PTO, Health, Dental, Vision, 401k Real impact, day one: Your code runs inside the workflows of major global enterprises immediately. You're solving mission-critical compliance problems that directly reduce risk and unlock productivity. Forward-deployed influence: You'll spend time with customers, understanding their pain points and having direct input into product decisions. Your customer insights will shape our roadmap.Equity upside: We're building a generational company in a $50B market. You'll own a meaningful stake in that value creation and be part of the defines how Haast scales. We believe in sharing success with the people who build it.Exceptional learning velocity: You'll learn more about scaling systems, working with customers, building products, and navigating the demands of a fast-growing startup in 12 months here than most roles offer in three years.Engineering-driven culture: No red tape. We hire smart people and get out of their way. Your voice matters in how we build.Flexibility and community: Fully remote across the US or Canada. How to ApplyWe're looking for people who've shipped things they're proud of and want to work on a problem that genuinely matters.Apply with:Your CVA brief note on this question: Tell us about a time you worked with customers to ship something they actually needed. What did it take to achieve the outcome? No closing date. We review applications on a rolling basis. At Haast, we believe bold ideas come from diverse perspectives. We're committed to building a team that reflects the world we work in. Even if you don't tick every box, we'd love to hear from you. #LI-Remote

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About Us Observe.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI agents that autonomously execute work across the full CX lifecycle—from handling customer conversations to supporting frontline teams and optimizing operations. Each AI agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work. Built on a CX-native foundation, Observe.AI helps leading brands like DoorDash, Affordable Care, Signify Health, and Verida improve customer satisfaction, boost agent productivity, and deliver consistent, scalable performance across every customer interaction. Why Join Us We’re looking for an AI Agent Engineer to lead the charge in building and deploying enterprise-grade Voice, Chat AI agents and AI Copilot. This role is hands-on, customer-facing, and pivotal in bringing AI solutions to life - from design and integration to deployment and optimization. You’ll own the end-to-end lifecycle of AI agents: building, integrating, testing, demoing to clients, deploying into production, and tuning performance. What you’ll be doing Build & Deploy Agents: Own the implementation of AI agents including prompt design, workflow configuration, integrations, telephony setup, and evaluation frameworks. Client Engagement: Act as the primary technical partner for customers—lead regular demos, communicate progress, gather feedback, and guide solutions from concept to production. Systems Integration: Configure and connect systems using APIs—handling authentication, data mapping, error handling, and integrations with CRMs, knowledge bases, and other enterprise tools. Telephony Integration: Set up SIP/CCaaS/PSTN routing, pass metadata, configure fallbacks, and troubleshoot call quality. Prompt Design & Optimization: Write and refine prompts for LLM-driven agents, monitor performance, test iteratively, and ensure agents meet automation and containment targets. Strategic Partner: Translate customer requirements into actionable solutions; work consultatively to unblock challenges in security, connectivity, or knowledge ingestion. Cross Functional Collaboration: Collaborate with product/engineering teams to escalate platform gaps and resolve deep technical fixes and platformization, while independently driving leading client implementations. What you’ll Bring Bachelor’s degree in Computer Science, Engineering, or a related technical field 3+ years in conversational AI, solution engineering, system integration, or delivering AI/LLM-based applications in customer environments, software engineering, or system integration with hands-on delivery of AI/LLM-based solutions. Strong ability to communicate and  lead customer-facing discussions - from deep technical troubleshooting to weekly project demos. Ability to explain complex technical concepts to non-technical audiences.  Must have strong hands-on skills in prompt design, workflow building and API integration (SIP, Twilio, Amazon Connect, etc.). Familiarity with LLMs (GPT, Claude, Gemini), vector DBs, and orchestration frameworks (LangChain, LlamaIndex, etc.). Working knowledge of retrieval-augmented generation (RAG) concepts, implementation patterns and performance optimization. Programming experience in Python, JavaScript, or similar for scripting and integrations Strong problem-solving mindset: ability to find workarounds, unblock integrations, and adapt to customer-specific ecosystems.  Experience with integration tools and Integration Platform-as-a-Service (iPaaS) providers, such as n8n, Zapier, or similar platforms and proficiency in API integrations and data flow management is a plus. Familiarity with telephony or voice systems (SIP, CCaaS, PSTN) is a plus.  Why You’ll Love It Here   Competitive compensation including equity: Market-aligned base pay, performance incentives, and meaningful equity ownership Excellent medical, dental, and vision insurance options: Comprehensive medical, dental and vision benefits for employees and eligible dependents Flexible Paid Time Off: Our unlimited, flexible PTO policy empowers you to take the time you need to recharge, maintain balance, and perform at your best. Additional Time to Recharge: 10 company holidays, an annual company-wide Winter Break, and paid parental leave to fully support life outside of work. 401(k) plan: Long-term financial planning support with tax-advantaged retirement savings Quarterly Lifestyle Spending Account: Flexible quarterly stipend to support wellness, learning and professional development, and personal growth Monthly Mobile + Internet Stipend: Support for remote and hybrid work connectivity needs Pre-tax Commuter Benefits: Tax-efficient transit and commuting support for hybrid and in-office employees Autonomy and Agency: Play a meaningful role in scaling a category-defining GenAI platform transforming the future of customer experience. Salary Range The base salary compensation range targeted for this full-time position is $108 - 170K per annum. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.  #LI-Hybrid

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Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.What this opportunity involves While each project involves unique tasks, contributors may:  Design original computational statistics problems that simulate real mathematical research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;Base problems on real research challenges or practical applications from mathematical practice; Verify solutions using Python with standard mathematical libraries; Document problem statements clearly and provide verified correct answers.What we look for This opportunity is a good fit for statistics specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: Degree in Statistics or related fields; Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Strong written English (C1+); Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidProject time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. CompensationOn this project, contributors can earn up to $34 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.What this opportunity involves While each project involves unique tasks, contributors may:  Design original computational statistics problems that simulate real mathematical research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;Base problems on real research challenges or practical applications from mathematical practice; Verify solutions using Python with standard mathematical libraries; Document problem statements clearly and provide verified correct answers.What we look for This opportunity is a good fit for statistics specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: Degree in Statistics or related fields; Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Strong written English (C1+); Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidProject time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. CompensationOn this project, contributors can earn up to $73 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.What this opportunity involves While each project involves unique tasks, contributors may: Generate prompts that challenge AI; Evaluate AI-generated solutions for correctness, assumptions, and logic; Improve AI reasoning to align with first principles and accepted standards; Apply structured scoring criteria to assess multi-step problem solving.What we look for This opportunity is a good fit for legal consultants, attorneys with an experience in US law open to part-time, non-permanent projects. Ideally, contributors will have:  Degree in law (Bachelor, J.D., LLM, FLLM) within the US context 2+ years of legal practice experience within US jurisdiction Strong written English (C1/C2) Stable internet connection How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidProject time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. CompensationOn this project, contributors can earn up to $75 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.What this opportunity involves While each project involves unique tasks, contributors may: Generate prompts that challenge AI; Evaluate AI-generated solutions for correctness, assumptions, and logic; Improve AI reasoning to align with first principles and accepted standards; Apply structured scoring criteria to assess multi-step problem solving.What we look for This opportunity is a good fit for legal consultants, attorneys with an experience in US law open to part-time, non-permanent projects. Ideally, contributors will have:  Degree in law (Bachelor, J.D., LLM, FLLM) within the US context 2+ years of legal practice experience within US jurisdiction Strong written English (C1/C2) Stable internet connection How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidProject time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. CompensationOn this project, contributors can earn up to $75 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.What this opportunity involves While each project involves unique tasks, contributors may:  Design original computational statistics problems that simulate real mathematical research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;Base problems on real research challenges or practical applications from mathematical practice; Verify solutions using Python with standard mathematical libraries; Document problem statements clearly and provide verified correct answers.What we look for This opportunity is a good fit for statistics specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: Degree in Statistics or related fields; Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Strong written English (C1+); Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidProject time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. CompensationOn this project, contributors can earn up to $16 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.What this opportunity involves While each project involves unique tasks, contributors may:  Design original computational statistics problems that simulate real mathematical research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;Base problems on real research challenges or practical applications from mathematical practice; Verify solutions using Python with standard mathematical libraries; Document problem statements clearly and provide verified correct answers.What we look for This opportunity is a good fit for statistics specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: Degree in Statistics or related fields; Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Strong written English (C1+); Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidProject time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. CompensationOn this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.What this opportunity involves While each project involves unique tasks, contributors may:  Design original computational statistics problems that simulate real mathematical research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;Base problems on real research challenges or practical applications from mathematical practice; Verify solutions using Python with standard mathematical libraries; Document problem statements clearly and provide verified correct answers.What we look for This opportunity is a good fit for statistics specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: Degree in Statistics or related fields; Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Strong written English (C1+); Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidProject time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. CompensationOn this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.What this opportunity involves While each project involves unique tasks, contributors may:  Design original computational statistics problems that simulate real mathematical research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;Base problems on real research challenges or practical applications from mathematical practice; Verify solutions using Python with standard mathematical libraries; Document problem statements clearly and provide verified correct answers.What we look for This opportunity is a good fit for statistics specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: Degree in Statistics or related fields; Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Strong written English (C1+); Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidProject time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. CompensationOn this project, contributors can earn up to $39 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.What this opportunity involves While each project involves unique tasks, contributors may:  Design original computational statistics problems that simulate real mathematical research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;Base problems on real research challenges or practical applications from mathematical practice; Verify solutions using Python with standard mathematical libraries; Document problem statements clearly and provide verified correct answers.What we look for This opportunity is a good fit for statistics specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: Degree in Statistics or related fields; Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Strong written English (C1+); Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidProject time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. CompensationOn this project, contributors can earn up to $17 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

false

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.What this opportunity involves While each project involves unique tasks, contributors may:  Design original computational statistics problems that simulate real mathematical research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;Base problems on real research challenges or practical applications from mathematical practice; Verify solutions using Python with standard mathematical libraries; Document problem statements clearly and provide verified correct answers.What we look for This opportunity is a good fit for statistics specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: Degree in Statistics or related fields; Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Strong written English (C1+); Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidProject time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. CompensationOn this project, contributors can earn up to $34 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

false

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.What this opportunity involves While each project involves unique tasks, contributors may:  Design original computational statistics problems that simulate real mathematical research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;Base problems on real research challenges or practical applications from mathematical practice; Verify solutions using Python with standard mathematical libraries; Document problem statements clearly and provide verified correct answers.What we look for This opportunity is a good fit for statistics specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: Degree in Statistics or related fields; Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Strong written English (C1+); Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidProject time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. CompensationOn this project, contributors can earn up to $21 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

false

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.What this opportunity involves While each project involves unique tasks, contributors may:  Design original computational statistics problems that simulate real mathematical research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;Base problems on real research challenges or practical applications from mathematical practice; Verify solutions using Python with standard mathematical libraries; Document problem statements clearly and provide verified correct answers.What we look for This opportunity is a good fit for statistics specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: Degree in Statistics or related fields; Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Strong written English (C1+); Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidProject time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. CompensationOn this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

false

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.What this opportunity involves While each project involves unique tasks, contributors may:  Design original computational statistics problems that simulate real mathematical research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;Base problems on real research challenges or practical applications from mathematical practice; Verify solutions using Python with standard mathematical libraries; Document problem statements clearly and provide verified correct answers.What we look for This opportunity is a good fit for statistics specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: Degree in Statistics or related fields; Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Strong written English (C1+); Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidProject time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. CompensationOn this project, contributors can earn up to $73 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.