Econometrics Instructor

About The Role

We're looking for experienced econometrics instructors and quantitative economists to help evaluate and improve AI systems trained on economic reasoning and statistical analysis. Your expertise will directly shape how AI understands and explains concepts like regression, causal inference, and econometric modeling — making a real impact on the next generation of AI tools used by researchers, students, and professionals worldwide.

Type

Hourly Contract

Location

Remote

Commitment

10–40 hours/week

What You'll Do

• Review and validate econometric questions, models, and explanations used in AI training datasets
• Audit statistical accuracy, underlying assumptions, and interpretation of results
• Identify errors, logical gaps, and edge cases in AI-generated quantitative reasoning
• Provide clear, structured feedback to improve model outputs and explanations
• Apply your real-world teaching experience to evaluate content for accuracy and pedagogical clarity
• Work independently and asynchronously on your own schedule

Who You Are

• 3+ years of experience teaching econometrics, quantitative economics, or related fields
• Strong command of regression analysis, causal inference, and applied statistical methods
• Able to clearly evaluate and articulate quantitative reasoning at a high level
• Comfortable reviewing structured, technical content with precision and consistency
• Self-motivated and reliable when working independently

Nice to Have

• Master's or PhD in Economics, Statistics, or a related field
• Proficiency with statistical tools such as R, Stata, or Python
• Familiarity with AI systems, model evaluation, or data annotation workflows