Econometrics Instructor (AI Training)

About the role

We are seeking experienced econometrics instructors and quantitative economists to help shape AI systems that understand statistical methods, causal inference, and economic modeling. Your expertise will directly influence the accuracy of next‑generation AI tools 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 technical correctness and pedagogical clarity.
• Work independently and asynchronously on your own 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 detail‑oriented when working on task‑based assignments.

Required skills

• Proficiency with statistical tools such as R, Stata, or Python.

What we offer

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