Econometrics Instructor (AI Training)

About the role

We are seeking an experienced Econometrics Instructor to help train AI systems in understanding statistical methods, causal inference, and economic modeling. Your expertise will directly shape the quality of AI‑generated explanations used by researchers, students, and professionals worldwide.

Key responsibilities

• Review and validate econometric questions, models, and explanations in AI training datasets.
• Assess statistical accuracy, underlying assumptions, and interpretation of quantitative results.
• Identify errors, edge cases, and misleading reasoning in AI‑generated economic content.
• Provide clear, structured feedback to improve model reasoning and explanation quality.
• Apply teaching experience to evaluate content for both technical correctness and pedagogical clarity.
• Work independently and asynchronously on a flexible schedule.

Required profile

• 3+ years teaching econometrics or quantitative economics at the college or university level.
• Strong command of regression analysis, causal inference, hypothesis testing, and statistical methods.
• Ability to evaluate and articulate quantitative reasoning, including common misconceptions.
• Self‑directed, reliable, and comfortable reviewing detailed technical content.
• Master’s or PhD in Economics, Statistics, or a related quantitative field (preferred).
• Familiarity with AI model evaluation workflows or data‑annotation platforms (nice to have).

Required skills

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

What we offer

• Opportunity to work on cutting‑edge AI projects with leading research labs.
• Fully remote, flexible schedule – work from anywhere.
• Freelance contract with autonomy, variety, and global collaboration.
• Potential for ongoing work and contract extension.