Econometrics Instructor (AI Training)

About the role

We are seeking experienced econometrics instructors and quantitative economists to help evaluate and improve cutting‑edge AI systems. Working fully remotely, you will use your deep knowledge of statistical modeling and economic reasoning to shape how AI understands and explains technically demanding 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 real‑world teaching experience to ensure content is both technically correct and pedagogically sound.
• Work independently and asynchronously on task‑based assignments.

Required profile

• 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

• Fully remote and flexible schedule.
• Freelance autonomy with a variety of AI research projects.
• Collaboration with a global network of subject‑matter experts.
• Potential for ongoing work and contract extensions as new projects launch.