Econometrics Instructor (AI Training)

About the role

We are seeking experienced econometrics instructors and quantitative economists to help evaluate and improve AI systems that are trained on economic reasoning and statistical analysis. Your expertise will directly influence how AI interprets and communicates complex econometric concepts, impacting the future of AI in economics and data science.

Key responsibilities

• Review and validate econometric questions, models, and explanations used in AI training.
• Assess statistical accuracy, underlying assumptions, and interpretation of quantitative results.
• Provide structured, expert feedback to enhance AI reasoning quality and clarity.
• Apply real‑world teaching experience to identify errors, misconceptions, and edge cases.
• Work independently and asynchronously on your own schedule.

Required profile

• Minimum 3 years of experience teaching econometrics or quantitative economics.
• Strong command of regression analysis, causal inference, and statistical methods.
• Ability to clearly explain and rigorously evaluate quantitative reasoning.
• Detail‑oriented, self‑motivated, and reliable.
• Master’s or PhD in Economics, Statistics, or a related field is a plus.

Required skills

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

What we offer

• Cutting‑edge AI projects with top research labs.
• Fully remote and flexible schedule.
• Freelance perks: autonomy, variety, and global collaboration.
• Opportunity to shape how AI reasons about economics and data.
• Potential for ongoing work and contract extension.