Machine Learning Developer (Freelance)
Contributors may design original computational STEM problems simulating real scientific workflows, create computationally intensive problems requiring Python programming to solve, develop problems requiring non-trivial reasoning and creative problem-solving, verify solutions using Python with standard libraries such as Numpy, Pandas, Scipy, and scikit-learn, and document problem statements clearly with verified correct answers.
Machine Learning Developer (Freelance)
Contributors design original computational STEM problems that simulate real scientific workflows, create problems that require Python programming to solve, and ensure these problems are computationally intensive and cannot be solved manually within reasonable timeframes. They develop problems requiring non-trivial reasoning chains and creative problem-solving approaches, verify solutions using Python with standard libraries such as Numpy, Pandas, Scipy, and scikit-learn, and document problem statements clearly while providing verified correct answers.
Machine Learning Developer (Freelance)
Contributors may design original computational STEM problems that simulate real scientific workflows, create problems that require Python programming to solve, ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes, develop problems requiring non-trivial reasoning chains and creative problem-solving approaches, verify solutions using Python with standard libraries such as Numpy, Pandas, Scipy, and scikit-learn, and document problem statements clearly while providing verified correct answers.
Machine Learning Developer (Freelance)
Contributors may design original computational STEM problems that simulate real scientific workflows, create problems requiring Python programming to solve, ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes, develop problems requiring non-trivial reasoning chains and creative problem-solving approaches, verify solutions using Python with standard libraries (Numpy, Pandas, Scipy, scikit-learn), and document problem statements clearly while providing verified correct answers.
Senior AI Applications Engineer
The Senior AI Application Engineer will configure and integrate AI/GenAI workflows using platform APIs and customer data, ensuring smooth and secure deployment. They will translate customer requirements into technical solutions, validate workflow correctness, and continuously refine prompts for optimal performance. The role involves developing and automating tasks using Python and SQL, building prototypes with open-source Agentic Frameworks, designing and analyzing A/A experiments to improve workflow quality and reliability, as well as monitoring AI workflows with business metrics and observability dashboards to maintain high availability. They will provide proactive solutions and regular updates to customers, maintain high customer satisfaction through effective troubleshooting and communication, diagnose and resolve platform issues related to APIs, data integration, and workflow configurations, collaborate with engineering when needed, use APIs and integration protocols like JSON, REST, and SOAP to configure workflows and integrate with CRM/ATS tools, and write custom scripts to query databases and create reports for in-depth analysis and demonstrating ROI to customers.
Senior Data Engineer
The Senior Data Engineer at HackerOne is responsible for leading the end-to-end design and delivery of scalable, secure, and intelligent data products and solutions to support the company's transformation into an AI-first organization. This role involves partnering across business and engineering teams to identify opportunities for automation, integration, and system modernization, driving the architecture and execution of platform-level capabilities by leveraging AI and modern tooling to reduce manual effort, improve decision-making, and increase system resilience. The engineer will provide technical leadership to internal engineers and external development partners to ensure design quality, operational excellence, and long-term maintainability, shape and contribute to incident and on-call response strategies, playbooks, and processes to build systems that fail gracefully and recover quickly, mentor other engineers and advocate for technical excellence, and promote a culture of innovation and continuous improvement. Additionally, the role includes championing effective change management to ensure systems are successfully launched, adopted, understood, and evolved.
AI Strategist, Healthcare Solutions
Lead and drive technology solutions in the Healthcare vertical and the GTM process with healthcare customer engagements from first meeting to deal signed. Drive revenue and new logo expansion by diagnosing customer problems through an AI lens and designing data-driven, AI-enabled strategies to deliver desired outcomes. Operate in 0→1 mode by rapidly building demos and proof-of-concept solutions showcasing the Distillery platform’s capabilities. Work at the intersection of business strategy and AI implementation, bridging technical AI tools and business outcomes. Prototype workflows on the Distillery platform, build demos quickly, collaborate with healthcare SMEs, and co-design solutions with engineering. Drive AI solutioning throughout the pre-sales process on healthcare deals, own momentum from discovery through deal close, research clients and tailor use case points of view. Develop expertise in Distyl’s Healthcare Solutions, feed insights to Account Executives to sharpen pitches, conduct technical discovery, identify valuable problems embedding in customer workflows, build demos and competitive positioning documents, define POC proposals, navigate enterprise data to identify reliable AI outcomes, build storylines and decks for ROI, create and maintain reusable GTM assets, ensure proper handoff to expansion teams, and maintain living account documentation during pre-sales phase.
Senior Research Data Scientist
The Senior Research Data Scientist is responsible for acting as the expert on data assets, structures, and pipelines that support research, working flexibly across data engineering, data analysis, and applied science to convert raw data into credible insights. This includes partnering with research scientists to explore and analyze complex healthcare data, building and maintaining data infrastructure, developing and validating metrics, conducting causal and descriptive analyses, and interrogating evaluation framework assumptions. The role involves conducting quantitative evaluations of models and products based on real-world data, designing and executing critical analyses addressing core research questions, and ensuring evaluation frameworks reflect meaningful outcomes for clinicians and patients. The scientist develops and maintains expertise in production data, user feedback, and clinical conversation data, collaborates with engineering teams to ensure data accessibility and reliability, and works closely with product, engineering, science, and commercial teams to ensure evaluations are credible and relevant. They translate complex analyses into clear narratives for varied audiences, producing reports and presentations to inform product decisions and establish rigorous evidence of AI’s real-world impact in healthcare. The position also requires working from the NYC office at least three times weekly, supporting external research, and contributing to strategic research functions such as rigorous study design and core model evaluation.
AI QA Analyst
Review and annotate complex conversation traces to rate response quality based on metrics such as helpfulness, honesty, and harmlessness (HHH). Build and maintain high-quality "Golden Datasets" and benchmarks to stress-test the model across various domains and edge cases. Conduct pre-deployment testing and A/B model comparisons to identify performance regressions or improvements. Categorize model failures (hallucinations, logic errors, tone drift) to provide actionable feedback to the Engineering and Research teams. Help define and refine the rubric for "what a good response looks like" as the product evolves.
Data Scientist (Python & SQL) - Freelance AI Trainer
As a Data Science AI Trainer, you will design original computational data science problems that simulate real-world analytical workflows across various industries such as telecom, finance, government, e-commerce, and healthcare. You will create problems that require Python programming to solve using libraries like pandas, numpy, scipy, sklearn, statsmodels, matplotlib, and seaborn, ensuring these problems are computationally intensive and cannot be solved manually within reasonable timeframes. Your tasks include developing problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. You will create deterministic problems with reproducible answers by avoiding stochastic elements or using fixed random seeds, base these problems on real business challenges such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency, and design end-to-end problems spanning the complete data science pipeline from data ingestion to deployment considerations. Additionally, you will incorporate big data processing scenarios that require scalable computational approaches, verify solutions using Python with standard data science libraries and statistical methods, and document problem statements clearly with realistic business contexts and provide verified correct answers.
Access all 4,256 remote & onsite AI jobs.
Frequently Asked Questions
Need help with something? Here are our most frequently asked questions.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.