Econometrics Instructor (AI Training)

About the role

We are seeking an experienced Econometrics Instructor to help train AI models in statistical reasoning. In this remote, task‑based contract you will apply your academic expertise to ensure AI outputs accurately reflect econometric concepts such as causal inference and regression analysis.

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 content.
• Provide clear, structured feedback to improve model reasoning and explanation quality.
• Work independently and asynchronously, fitting the work around 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, and statistical methods.
• Ability to clearly articulate and critically evaluate quantitative reasoning.
• Self‑motivated and reliable when working independently.

Required skills

• R
• Stata
• Python

What we offer

• Cutting‑edge AI projects with top research labs.
• Fully remote and flexible schedule.
• Freelance contract with autonomy and variety.
• Behind‑the‑scenes exposure to large language model training and evaluation.
• Potential for ongoing work and contract extension.