Econometrics Instructor (AI Training)

About the role

We are seeking experienced econometrics instructors and quantitative economists to help shape the next generation of AI. In this fully remote, flexible contract, your academic and teaching expertise will directly influence how AI systems understand and explain econometric concepts such as regression analysis and causal inference.

Key responsibilities

• Review and validate econometric questions, models, and explanations used to train AI systems.
• Assess statistical accuracy, underlying assumptions, and interpretation of quantitative results.
• Identify errors, edge cases, and gaps in AI‑generated econometric reasoning.
• Provide clear, structured feedback to improve model outputs and explanations.
• Apply real‑world teaching experience to evaluate the communication of complex concepts.
• Work independently and asynchronously on your own schedule.

Required profile

• 3+ years of experience teaching econometrics or quantitative economics at the college or graduate level.
• Strong command of regression analysis, causal inference, and applied statistical methods.
• Ability to evaluate and clearly articulate quantitative reasoning for diverse audiences.
• Self‑motivated and reliable when working independently on task‑based assignments.

Required skills

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

What we offer

• Opportunity to work on cutting‑edge AI projects with top research labs.
• Fully remote and flexible schedule.
• Freelance perks: autonomy, variety, and collaboration with a global expert community.
• Potential for ongoing work and contract extension.