Econometrics Instructor (AI Training)

About the role

We are seeking experienced econometrics instructors to help shape AI training data. You will apply your teaching expertise to ensure statistical methods, causal inference, and economic modeling are accurately represented in next‑generation AI systems.

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 economic content.
• Provide clear, structured feedback to improve model reasoning and explanation quality.
• Evaluate content for both technical correctness and pedagogical clarity while working independently on your schedule.

Required profile

• 3+ years of experience 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 clearly evaluate and articulate quantitative reasoning and common misconceptions.
• Self‑directed, reliable, and comfortable reviewing detailed technical content.
• Master’s or PhD in Economics, Statistics, or a related quantitative field (nice to have).

Required skills

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

What we offer

• Work on cutting‑edge AI projects with leading research labs and AI companies.
• Fully remote, flexible schedule.
• Freelance autonomy, variety, and global collaboration.
• Opportunity to contribute to meaningful work that improves AI’s quantitative reasoning.
• Potential for ongoing work and contract extension.