Econometrics Instructor

Econometrics Instructor (AI Training)
About The Role
We're looking for experienced econometrics instructors and quantitative economists to help shape how AI understands and explains statistical and economic reasoning. Your expertise will directly influence the quality of AI systems being built by top research labs — making a real impact on how the next generation of AI handles causal inference, regression, and econometric modeling.
Organization: Alignerr (Powered by Labelbox)Type: Hourly ContractLocation: RemoteCommitment: 10–40 hours/week
What You'll Do
Review and validate AI-generated econometric questions, models, and explanations used in trainingAssess statistical accuracy, model assumptions, and the correctness of result interpretationIdentify errors, edge cases, and misleading reasoning in quantitative contentProvide clear, structured feedback to improve AI model reasoning and explanatory clarityApply your real-world teaching experience to evaluate content the way a student or practitioner would encounter itWork independently and asynchronously on your own schedule
Who You Are
3+ years of experience teaching econometrics or quantitative economicsStrong command of regression analysis, causal inference, and core statistical methodsAble to clearly evaluate and articulate quantitative reasoning in written formComfortable reviewing structured, technical content with a critical eyeSelf-motivated and reliable when working independently
Nice to Have
Master's or PhD in Economics, Statistics, or a related fieldHands-on experience with statistical tools such as R, Stata, or PythonFamiliarity with AI model evaluation or data annotation workflows
Why Join Us
Work 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 directly improves how AI reasons about economics and statisticsPotential for ongoing work and contract extension

Work arrangement
Yes