Econometrics Instructor (AI Training)
About The Role
We're looking for experienced econometrics instructors and quantitative economists to help train the next generation of AI. Your academic and teaching expertise will directly shape how AI understands and explains statistical models, causal inference, and economic reasoning — making a measurable impact on one of the most rapidly advancing fields in technology.
Organization: Alignerr (Powered by Labelbox)
Type: Hourly 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, model assumptions, and the quality of result interpretations
Identify errors, misconceptions, and edge cases in AI-generated quantitative reasoning
Provide clear, structured feedback to improve model outputs for accuracy and clarity
Apply your real-world teaching experience to evaluate how well explanations would land with students or practitioners
Work independently and asynchronously on a schedule that suits you
Who You Are
3+ years of experience teaching econometrics, quantitative economics, or a closely related field
Strong command of regression analysis, causal inference, and core statistical methods
Able to clearly articulate and critically evaluate quantitative reasoning
Comfortable reviewing structured technical content with precision and consistency
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 R, Stata, Python, or similar statistical tools
Prior exposure to AI evaluation, annotation, or model testing workflows
Why Join Us
Work on cutting-edge AI projects with top research labs
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 improves how AI reasons about economics and statistics
Potential for ongoing work and contract extension