Job description
About The Role
We're looking for experienced econometrics instructors and quantitative economists to help shape the next generation of AI. Your deep knowledge of statistical modeling, causal inference, and economic reasoning will directly influence how AI systems understand and explain complex quantitative concepts.
This is a fully remote, flexible contract role --- work on your own schedule and make a meaningful impact on cutting-edge AI development.
- 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, misconceptions, and edge cases in AI-generated economic reasoning
- Provide clear, structured feedback to improve model reasoning and explanatory quality
- Apply your real-world teaching and research experience to evaluate content at scale
- Work independently and asynchronously to complete task-based assignments
Who You Are
- 3+ years of experience teaching econometrics or quantitative economics
- Strong command of regression analysis, causal inference, and statistical methods
- Able to critically evaluate and clearly explain quantitative reasoning
- Comfortable reviewing structured, technical academic content
- Self-motivated and reliable working independently in a remote environment
Nice to Have
- 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 systems, large language models, or model evaluation workflows
Why Join Us
- Work on cutting-edge AI projects with leading research labs
- Fully remote and flexible --- work when and where it suits you
- Freelance perks: autonomy, variety, and global collaboration
- Be part of meaningful work that improves how AI reasons about economics and statistics
- Potential for ongoing work and contract extension