Econometrics Instructor

Econometric evaluation

Review AI-generated technical content to improve the way models reason about economics and statistical evidence. Assignments span regression analysis, causal inference, time series, and related methods.

• Check questions, models, and explanations for accuracy and clarity.
• Assess statistical assumptions, methodological validity, and interpretation of results.
• Identify errors, uncommon cases, and gaps in reasoning using teaching experience.
• Provide specific, organized feedback on both technical conclusions and their communication.

Required expertise

At least three years teaching econometrics or quantitative economics is required. Strong knowledge of regression, causal inference, and applied statistical methods is essential.

You should be able to judge advanced quantitative reasoning and explain your conclusions precisely. The role requires consistent, careful review of structured technical content and dependable independent delivery.

Useful experience

A master's or PhD in Economics, Statistics, or a related discipline is helpful. Practical work with R, Stata, or Python is welcome, as is familiarity with AI training or evaluation methods.

Contract scope

This fully remote hourly contract is organized around projects, with flexible asynchronous work on your own schedule. Assignments involve international collaboration and may lead to continued work or contract extension.