Econometrics Instructor (AI Training)

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 methods, causal inference, and economic modeling will directly influence how AI systems reason through complex quantitative problems — making a real and lasting impact on 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 statistical accuracy, underlying assumptions, and the quality of result interpretations Identify errors, edge cases, and gaps in AI-generated quantitative reasoning Provide clear, structured feedback to improve model reasoning and explanatory clarity Apply your real-world teaching experience to ensure content meets high academic standards Work independently and asynchronously on your own schedule

Who You Are

3+ years of experience teaching econometrics, quantitative economics, or a closely related field Strong command of regression analysis, causal inference, hypothesis testing, and statistical modeling 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 when working independently

Nice to Have

Master's or PhD in Economics, Statistics, or a related discipline Proficiency with statistical tools such as R, Stata, or Python Familiarity with AI model evaluation workflows or data annotation platforms

Why Join Us

Work on cutting-edge AI projects with top research labs Fully remote and flexible — work on your own schedule Freelance perks: autonomy, variety, and global collaboration Gain firsthand exposure to how advanced large language models are trained and evaluated Potential for ongoing work and contract extension