About the Role
We're looking for experienced econometrics instructors and quantitative economists to help evaluate and improve how AI systems reason through statistical models, causal inference, and economic analysis. Your expertise will directly shape the quality of AI-generated econometric content — making a real impact on how the next generation of AI understands and explains quantitative economics.
- 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 statistical accuracy, underlying assumptions, and the soundness of result interpretation
- Identify errors, edge cases, and misleading reasoning in AI-generated quantitative content
- Provide clear, structured feedback to improve model reasoning and pedagogical clarity
- Apply your real-world teaching experience to set a higher standard for AI economic literacy
- Work independently and asynchronously on your own schedule
Who You Are
- 3+ years of experience teaching econometrics, quantitative methods, or applied statistics in an economics context
- Strong command of regression analysis, causal inference, hypothesis testing, and related statistical methods
- Able to clearly evaluate and articulate the quality of quantitative reasoning and explanations
- Comfortable reviewing structured, technical content at scale
- Self-motivated and reliable when working independently
Nice to Have
- Master's or PhD in Economics, Statistics, or a related quantitative field
- Hands-on experience 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 and AI organizations
- Fully remote and flexible — work on your own schedule, from anywhere
- Freelance perks: autonomy, variety, and collaboration with experts around the world
- Contribute to meaningful work that raises the bar for AI in quantitative reasoning
- Potential for ongoing work and contract extension