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 Contract
Location: Remote
Commitment: 10–40 hours/week What You'll Do Review and validate AI-generated econometric questions, models, and explanations used in training
Assess statistical accuracy, model assumptions, and the correctness of result interpretation
Identify errors, edge cases, and misleading reasoning in quantitative content
Provide transparent, structured feedback to improve AI model reasoning and explanatory clarity
Apply your real-world teaching experience to evaluate content the way a student or practitioner would encounter it
Work independently and asynchronously on your own schedule Who You Are 3+ years of experience teaching econometrics or quantitative economics
Strong command of regression analysis, causal inference, and core statistical methods
Able to clearly evaluate and articulate quantitative reasoning in written form
Comfortable reviewing structured, technical content with a critical eye
Self-motivated and reliable when working independently Nice to Have Master's or PhD in Economics, Statistics, or a related field
Hands-on experience with statistical tools such as R, Stata, or Python
Familiarity with AI model evaluation or data annotation workflows Why Join Us Work on cutting-edge AI projects with top research labs
Fully remote and flexible — work on your own schedule
Freelance perks: autonomy, variety, and global collaboration
Contribute to meaningful work that directly improves how AI reasons about economics and statistics