Data Science - AI Trainer

Key ResponsibilitiesReview and evaluate AI-generated responses to data science prompts— analysis, modeling,statistics, and code — for correctness and rigorDesign realistic, challenging data science problems used to train AI systemsWrite clear, expert-level solutions and explanations that serve as model training examplesFlag errors, flawed reasoning, or ambiguous outputs and provide corrective guidanceMaintain consistent quality and throughput throughout the sprint engagementQualificationsMinimum 2 years but ideally 5+ years of professional data science experience (analytics, machine learning, statistical modeling, data engineering, or similar applied work) in industry or research. Undergraduate study does not count toward the experience minimum.Working proficiency in Python and/or SQL; comfort reading and writing analysis code is expectedStrong written communication skills; ability to explain complex concepts clearly and conciselyComfortable working independently in a remote, self-directed environmentBased in the United StatesAdvanced degree in a quantitative field is a plus — practical expertise matters more than credentials