Econometrics Instructor (AI Training)

About the role

We are seeking experienced econometrics instructors and quantitative economists to help evaluate and improve AI systems that are trained on economic reasoning and statistical analysis. Your expertise will directly shape how AI understands, explains, and applies complex econometric concepts, making a tangible impact on the future of AI in economics and data science.

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.
• Provide structured, expert feedback to enhance AI reasoning quality and clarity.
• Leverage real‑world teaching experience to identify errors, misconceptions, and edge cases.
• Work independently and asynchronously on your own schedule.

Required profile

• 3+ years of experience teaching econometrics or quantitative economics.
• Strong command of regression analysis, causal inference, and statistical methods.
• Ability to clearly explain and rigorously evaluate quantitative reasoning.
• Comfortable reviewing and critiquing structured technical content.
• Detail‑oriented, self‑motivated, and reliable.

Required skills

• Regression analysis
• Causal inference
• Statistical methods
• R, Stata, or Python for statistical analysis

What we offer

• Work on cutting‑edge AI projects with top research labs.
• Fully remote and flexible schedule.
• Freelance autonomy, variety, and global collaboration.
• Opportunity to contribute to meaningful work that shapes AI reasoning about economics and data.
• Potential for ongoing work and contract extension.