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 complex econometric concepts — making a real impact on the next generation of intelligent tools used by researchers, students, and professionals worldwide.
- Organization: Alignerr (Powered by Labelbox)
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Review and validate AI-generated econometric questions, models, and explanations for accuracy and clarity
- Assess statistical assumptions, methodology, and interpretation of results
- Identify errors, edge cases, and gaps in quantitative reasoning
- Provide structured, expert feedback to improve AI model outputs
- Apply your real-world teaching experience to ensure content is pedagogically sound
- Work independently and asynchronously on a schedule that works for you
Who You Are
- 3+ years of experience teaching econometrics or quantitative economics
- Strong command of regression analysis, causal inference, and statistical methods
- Able to clearly evaluate and articulate quantitative reasoning at an expert level
- Comfortable reviewing structured, technical content with precision and consistency
- Self-motivated and reliable in an independent remote work environment
Nice to Have
- Master's or PhD in Economics, Statistics, or a related field
- Proficiency with statistical tools such as R, Stata, or Python
- Familiarity with AI systems or model evaluation workflows
Why Join Us
- Work on cutting-edge AI projects with leading 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