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About the role
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 reasoning will directly influence how AI systems understand and explain econometrics — making a real impact on one of the most technically demanding fields in AI training.
This is a fully remote, flexible contract role where your expertise drives the work.
Organization: Alignerr (Powered by Labelbox) Type: Hourly / Task-based Contract Location: Remote Commitment: 10–40 hours/week
What You'll Do
Review and validate AI-generated econometric questions, models, and explanations for correctness and clarity Assess statistical assumptions, methodology, and interpretation of results Identify errors, logical gaps, and edge cases in quantitative reasoning Provide structured, expert feedback to improve AI model outputs Apply real-world teaching and research experience to evaluate how well AI communicates complex concepts Work independently and asynchronously on your own schedule
Who You Are
3+ years of experience teaching econometrics or quantitative economics at the university or professional level Strong command of regression analysis, causal inference, and applied statistical methods Able to clearly evaluate and articulate quantitative reasoning in written form 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 statistical tools such as R, Stata, or Python Familiarity with AI evaluation workflows or model assessment
Why Join Us
Work on cutting-edge AI projects alongside top research labs Fully remote and flexible — work when and where it suits you Freelance perks: autonomy, variety, and global collaboration Contribute to meaningful work that improves how AI reasons about economics and statistics Potential for ongoing work and contract extension
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