We're looking for experienced econometrics instructors and quantitative economists to help shape how the next generation of AI understands statistical reasoning. Your expertise will directly influence how AI models explain regression, causal inference, and economic analysis — making a real impact on the quality of AI in one of the most technically demanding fields.
Review and validate AI-generated econometric questions, models, and explanations used in AI training
Assess statistical accuracy, underlying assumptions, and interpretation of quantitative results
Identify errors, edge cases, and gaps in AI reasoning using your real-world teaching experience
Provide clear, structured feedback to improve how AI models reason through complex economic problems
Work independently and asynchronously — on your schedule, at your pace
Who You Are
3+ years of experience teaching econometrics or quantitative economics at a college or professional level
Strong command of regression analysis, causal inference, and statistical methods
Able to clearly evaluate and articulate quantitative reasoning and model outputs
Comfortable reviewing structured, technical content with precision and rigor
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 labeling 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 general collaboration
Contribute to meaningful work that raises the bar for AI in quantitative fields
Potential for ongoing work and contract extension
📌 Econometrics Instructor (Ciudad de México)
🏢 Alignerr
📍 Ciudad de México
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