Econometrics Instructor

Econometrics Instructor (AI Training)About The RoleWe're looking for experienced econometrics instructors and quantitative economists to help shape the next generation of AI. Your expertise will directly influence how AI systems reason through statistical models, causal inference, and economic analysis — making a real impact on one of the most technically demanding frontiers in AI development.Organization: Alignerr (Powered by Labelbox)Type: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoReview and validate AI-generated econometric questions, models, and explanations for accuracy and rigorAssess statistical assumptions, methodology, and interpretation of resultsIdentify errors, edge cases, and gaps in quantitative reasoningProvide structured, expert feedback to improve AI model clarity and correctnessApply your real-world teaching experience to evaluate how well concepts are explainedWork independently and asynchronously on your own scheduleWho You Are3+ years of experience teaching econometrics or quantitative economicsStrong command of regression analysis, causal inference, and applied statistical methodsAble to clearly evaluate and articulate quantitative reasoning at an expert levelComfortable reviewing structured technical content and providing detailed feedbackSelf-motivated and reliable working independently in a remote environmentNice to HaveMaster's or PhD in Economics, Statistics, or a related fieldProficiency with statistical tools such as R, Stata, or PythonPrior experience with AI evaluation, annotation, or model training 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 raises the bar for how AI handles quantitative reasoningPotential for ongoing work and contract extension