Econometrics Instructor (AI Training)

About the role

We are seeking experienced econometrics instructors and quantitative economists to help shape AI’s understanding of statistical reasoning. Your expertise will directly influence the quality of AI models that handle causal inference, regression, and quantitative analysis.

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, edge cases, and misleading reasoning in AI‑generated econometric content.
• Provide clear, structured feedback to improve model reasoning and explanation quality.
• Apply real‑world teaching and research experience to raise the bar for AI output.
• Work independently and asynchronously on a schedule that fits your life.

Required profile

• 3+ years of experience teaching econometrics or quantitative economics at the college or university level.
• Strong command of regression analysis, causal inference, and statistical methods.
• Ability to clearly articulate and critically evaluate quantitative reasoning.
• Self‑motivated and reliable when working independently.

Required skills

• Regression analysis
• Causal inference
• Statistical methods
• R
• Stata
• Python

What we offer

• Fully remote and flexible schedule.
• Freelance contract with autonomy and variety.
• Exposure to how large language models are trained and evaluated.
• Opportunity to contribute to meaningful AI work and potential for ongoing contracts.