Econometrics Instructor (AI Training)

About the role

We are seeking experienced econometrics instructors to help evaluate and improve AI training data. In this fully remote, flexible contract you will use your expertise in statistical modeling and economic reasoning to ensure AI systems generate accurate and pedagogically sound content.

Key responsibilities

• Review and validate econometric questions, models, and explanations used in AI training datasets.
• Assess statistical accuracy, underlying assumptions, and interpretation of quantitative results.
• Identify errors, logical gaps, and edge cases in AI‑generated economic reasoning.
• Provide clear, structured feedback to improve model outputs and explanations.
• Apply teaching experience to evaluate technical correctness and pedagogical quality of content.
• Work independently and asynchronously, completing task‑based assignments on your own schedule.

Required profile

• Minimum 3 years of experience teaching econometrics, quantitative economics, or a closely related field.
• Strong command of regression analysis, causal inference, time‑series methods, and statistical methodology.
• Ability to clearly evaluate and articulate quantitative reasoning.
• Self‑motivated, reliable, and detail‑oriented in a remote work environment.

Required skills

• Regression analysis
• Causal inference
• Time‑series analysis
• Statistical methodology
• R
• Stata
• Python

What we offer

• Opportunity to work on cutting‑edge AI projects with leading research labs.
• Fully remote and flexible schedule.
• Freelance autonomy, variety, and collaboration with a global network of subject‑matter experts.
• Contribution to meaningful work that improves AI reasoning about economics and statistics.
• Potential for ongoing work and contract extensions as new projects launch.