Data Scientist – AI Training & Evaluation

About The RoleAI is only as good as the experts who train it. We're looking for data scientists to help evaluate, refine, and improve next-generation AI systems — bringing your quantitative expertise directly to bear on how the world's most advanced models reason, analyze, and communicate.This is a fully remote, flexible contract role. You set your hours and work at your own pace, contributing to projects that sit at the frontier of applied AI research.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoEvaluate AI model outputs for statistical soundness, reasoning quality, and analytical accuracyDesign and apply data-driven evaluation criteria and scoring rubricsAnalyze patterns in AI-generated responses to surface systematic errors or biasesCreate high-quality training data — including prompts, worked solutions, and expert annotations — across data science and ML domainsReview AI-generated code, visualizations, and statistical analyses for correctness and best practicesProvide structured, detailed feedback that directly improves model performanceWork independently and asynchronously on your own scheduleWho You AreDegree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field (MS or PhD preferred)Strong foundation in statistics, probability, and machine learning conceptsProficient in Python, R, SQL, or similar data analysis toolsExperienced with data wrangling, exploratory data analysis, and model evaluationSharp analytical thinker with excellent attention to detailClear written communicator — able to explain complex technical concepts conciselySelf-motivated and comfortable working independently in an async environmentNice to HaveExperience with deep learning frameworks such as PyTorch or TensorFlowFamiliarity with NLP, large language models, or AI evaluation workflowsPublished research or hands-on industry experience in applied machine learningBackground in A/B testing, causal inference, or experimental designWhy Join UsWork on cutting-edge AI projects alongside top research labs and AI teams globallyGet rare, inside exposure to how state-of-the-art LLMs are trained and evaluatedFully remote and async — work when and where it suits youComplete autonomy over your schedule and workload (10–40 hrs/week)Join a growing community of expert contributors who are actively shaping the future of AIPotential for ongoing work and long-term contract extension