You validate AI-generated econometric questions, models and explanations, checking assumptions, methods and interpretation of results. It suits experienced econometrics teachers and quantitative economists who can give precise written feedback on their own time.
About the role
Econometrics Instructor (AI Training)
About the Role
We're looking for experienced econometrics instructors and quantitative economists to help evaluate and improve AI systems trained on economic reasoning and statistical analysis. Your expertise will directly shape how AI understands and communicates complex econometric concepts — making a real impact on the next generation of intelligent tools used by researchers, students, and policymakers worldwide.
- Organization : Alignerr
- Type : Hourly Contract
- Location : Remote
- Commitment : Flexible, project-based
- Commitment : Flexible, project-based
- Review and validate AI-generated econometric questions, models, and explanations for accuracy and clarity
- Assess statistical assumptions, methodological soundness, and interpretation of results
- Identify errors, edge cases, and reasoning gaps using your real-world teaching experience
- Provide structured, actionable feedback to improve AI model reasoning and communication
- Evaluate content spanning regression analysis, causal inference, time series, and more
- Work independently and asynchronously on your own schedule
- Work independently and asynchronously on your own schedule
- 3+ years of experience teaching econometrics or quantitative economics
- Strong command of regression analysis, causal inference, and applied statistical methods
- Able to clearly evaluate and articulate quantitative reasoning at a high level
- Comfortable reviewing structured, technical content with precision and consistency
- Self-motivated and reliable — you deliver quality work without being micromanaged
- Self-motivated and reliable — you deliver quality work without being micromanaged
- Master's or PhD in Economics, Statistics, or a related field
- Hands-on experience with statistical tools such as R, Stata, or Python
- Familiarity with AI evaluation workflows or model training processes
- Familiarity with AI evaluation workflows or model training processes
- Work on cutting-edge AI projects alongside top research labs
- Fully remote and flexible — work on your own schedule, from anywhere
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work that shapes how AI reasons about economics and data
- Potential for ongoing work and contract extension
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