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 explains some of the most technically demanding content in the social sciences — regression, causal inference, and econometric modeling.
This is a fully remote, flexible contract role powered by Alignerr (by Labelbox) — work on your schedule, on your terms.
- Organization: Alignerr (Powered by Labelbox)
- Type: Hourly / Task-based Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Review and validate econometric questions, models, and explanations used in AI training datasets
- Assess the 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 how AI models explain and apply econometric concepts
- Apply your real-world teaching experience to ensure content meets high academic and professional standards
- Work independently and asynchronously to complete task-based assignments
Who You Are
- 3+ years of experience teaching econometrics, quantitative economics, or a closely related field
- 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 in a remote, asynchronous work environment
Nice to Have
- Master's or PhD in Economics, Econometrics, Statistics, or a related field
- Proficiency with statistical tools such as R, Stata, or Python
- Familiarity with AI systems, model evaluation, or data annotation workflows
Why Join Us
- Work on cutting-edge AI projects with top research labs
- Fully remote and flexible — work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work that improves how AI understands quantitative reasoning
- Potential for ongoing work and contract extension
