Alignerr
Econometrics Instructor
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Econometrics Instructor
Econometrics Instructor (AI Training)
About The Role
We're looking for experienced econometrics instructors and quantitative economists to help shape how AI understands and reasons through statistical and economic problems. Your expertise will directly improve the quality of AI systems tackling regression analysis, causal inference, and real-world economic modeling.
This is a fully remote, flexible contract role — work on your own schedule while contributing to cutting-edge AI research.
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 the statistical accuracy, underlying assumptions, and interpretation of quantitative results
- Identify errors, misconceptions, and edge cases in AI-generated economic reasoning
- Provide clear, structured feedback to improve model clarity and analytical rigor
- Apply your real-world teaching experience to evaluate how well concepts are communicated
- Work independently and asynchronously on task-based assignments
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Who You Are
Essential
- 3+ years of experience teaching econometrics, quantitative economics, or a closely related field
- Strong command of regression analysis, causal inference, and statistical inference methods
- Able to clearly articulate and critically evaluate quantitative reasoning
- Comfortable reviewing structured technical content and providing actionable written feedback
- Self-directed and reliable — able to meet deadlines without close supervision
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Nice to Have
- Master’s or PhD in Economics, Statistics, or a related quantitative field
- Proficiency with statistical tools such as R, Stata, or Python
- Prior experience with AI evaluation, data annotation, or model training workflows
Why Join Us
- Work on cutting-edge AI projects with top research labs
- Fully remote and flexible — work when and where you choose
- Freelance perks: autonomy, variety, and global collaboration
- Get hands-on exposure to how large language models are trained and evaluated
- Contribute meaningful expertise that directly improves AI for economists and students worldwide
- Potential for ongoing work and contract extension
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