Econometrics Instructor (AI Training)

About the role

We are seeking experienced econometrics instructors and quantitative economists to help evaluate and improve cutting‑edge AI systems. This fully remote, flexible contract lets you work on your own schedule while shaping how AI understands complex economic content.

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, logical gaps, and edge cases in AI‑generated economic reasoning.
• Provide clear, structured feedback to improve model outputs and explanations.
• Apply real‑world teaching experience to ensure content is technically correct and pedagogically sound.
• Work independently and asynchronously to complete task‑based assignments.

Required profile

• 3+ years of experience teaching econometrics, quantitative economics, or a closely related field.
• Strong command of regression analysis, causal inference, time‑series methods, and statistical methodology.
• Ability to clearly evaluate and articulate quantitative reasoning.
• Comfortable working with structured, technical content in a remote environment.
• Self‑motivated, reliable, and detail‑oriented.
• Nice to have: Master’s or PhD in Economics, Statistics, or a related discipline; hands‑on experience with R, Stata, or Python; prior exposure to AI model evaluation or data labeling workflows.

Required skills

• Regression analysis
• Causal inference
• Time‑series analysis
• Statistical methodology
• R
• Stata
• 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 network of subject‑matter experts.
• Contribution to meaningful work that improves AI reasoning about economics and statistics.
• Potential for ongoing work and contract extensions as new projects launch.