Econometrics Instructor
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