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.
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 clear, 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
Solid 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
Potential for ongoing wor
📌 Econometrics Instructor (India)
🏢 Alignerr
📍 India
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