Data Scientist – AI Model Training & Evaluation

About The RoleAI is only as good as the experts who evaluate it. We're looking for data scientists to help train, evaluate, and improve next-generation AI systems that are reshaping the world of technology. You'll bring your deep expertise in statistics, machine learning, and data analysis to assess AI outputs, build evaluation frameworks, and ensure these systems deliver accurate, reliable, and unbiased results.This is a rare opportunity to work directly on the models powering the AI revolution — on your own schedule, from anywhere.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoEvaluate AI model outputs for accuracy, reasoning quality, and statistical soundnessDesign and apply data-driven evaluation criteria and scoring rubricsAnalyze patterns in AI-generated responses to identify systematic errors or biasesCreate high-quality training data including prompts, solutions, and annotations in your areas of expertiseProvide structured, detailed feedback to improve model performance across data science and analytical tasksReview AI-generated code, visualizations, and statistical analyses for correctnessWork 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 conceptsProficiency in Python, R, SQL, or similar data analysis toolsExperience with data wrangling, exploratory data analysis, and model evaluationExcellent analytical thinking and sharp attention to detailClear written communication in English — able to explain complex technical concepts simplySelf-motivated and comfortable working independentlyNice to HaveExperience with deep learning frameworks such as PyTorch or TensorFlowFamiliarity with NLP, LLMs, or AI evaluation workflowsPublished research or industry experience in applied machine learningBackground in A/B testing, causal inference, or experimental designWhy Join UsWork on cutting-edge AI projects shaping the future of technologyCollaborate with top research labs and AI teams globallyFully remote and flexible — work on your own schedule, as much or as little as you likeGain deep, firsthand exposure to how state-of-the-art LLMs are trained and evaluatedBe part of a growing community of expert contributors making AI smarter and more reliablePotential for ongoing work and long-term contract extension