Econometrics Instructor (AI Training)About The RoleWe're looking for experienced econometrics instructors and quantitative economists to help evaluate and improve AI systems trained on economic reasoning and statistical analysis. Your expertise will directly shape how AI understands and communicates complex econometric concepts — making a real impact on the future of AI in economics and data science.Organization: Alignerr (Powered by Labelbox)Type: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoReview and validate econometric questions, models, and explanations used in AI trainingAssess statistical accuracy, underlying assumptions, and interpretation of quantitative resultsProvide structured, expert feedback to improve AI reasoning quality and clarityApply your real-world teaching experience to identify errors, misconceptions, and edge casesWork independently and asynchronously on your own scheduleWho You Are3+ years of experience teaching econometrics or quantitative economicsStrong command of regression analysis, causal inference, and statistical methodsAble to clearly explain and rigorously evaluate quantitative reasoningComfortable reviewing and critiquing structured technical contentDetail-oriented, self-motivated, and reliableNice to HaveMaster's or PhD in Economics, Statistics, or a related fieldHands-on experience with statistical tools such as R, Stata, or PythonFamiliarity with AI systems, model evaluation, or data annotation workflowsWhy Join UsWork on cutting-edge AI projects with top research labsFully remote and flexible — work on your own scheduleFreelance perks: autonomy, variety, and global collaborationContribute to meaningful work that shapes how AI reasons about economics and dataPotential for ongoing work and contract extension