We're looking for experienced econometrics instructors and quantitative economists to help shape how AI understands and reasons through statistical and economic concepts. Your expertise will directly influence the quality of AI systems trained on econometric content — making a real impact on how the next generation of AI handles regression, causal inference, and quantitative analysis.
- 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 explicit, structured feedback to improve model clarity and correctness
- Apply your real-world teaching experience to evaluate content the way a rigorous instructor would
- Work independently and asynchronously on your own schedule
Who You Are
- 3+ years of experience teaching econometrics or quantitative economics at a university or professional level
- Strong command of regression analysis, causal inference, and statistical inference methods
- Able to clearly articulate and evaluate quantitative reasoning in writing
- Comfortable reviewing structured, technical content with precision and consistency
- Self-motivated and reliable when working independently on remote, task-based projects
Nice to Have
- Master's or PhD in Economics, Statistics, or a related quantitative field
- Proficiency with statistical tools such as R, Stata, or Python
- Prior experience with AI evaluation, annotation, or model training 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 economics and statistics
- Potential for ongoing work and contract extension
📌 Econometrics Instructor (Australia)
🏢 Alignerr
📍 Australia
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