We're looking for experienced econometrics instructors and quantitative economists to help shape how AI systems understand and reason about statistical and economic concepts. Your expertise will directly improve the quality of AI-generated econometric content — from regression analysis to causal inference — making a real impact on the next generation of AI tools used by researchers, analysts, and students worldwide.
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- Organization: Alignerr (Powered by Labelbox)
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- Type: Hourly / Task-based Contract
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- Location: Remote
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- Commitment: 10–40 hours/week
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Econometrics Instructor (AI Training) About The Role n
We're looking for experienced econometrics instructors and quantitative economists to help shape how AI systems understand and reason about statistical and economic concepts. Your expertise will directly improve the quality of AI-generated econometric content — from regression analysis to causal inference — making a real impact on the next generation of AI tools used by researchers, analysts, and students worldwide.
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- Organization: Alignerr (Powered by Labelbox)
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- Type: Hourly / Task-based Contract
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- Location: Remote
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- Commitment: 10–40 hours/week
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What You'll Do nn
- Review and validate AI-generated econometric questions, models, and explanations for accuracy and clarity
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- Assess statistical assumptions, methodology, and interpretation of results
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- Identify errors, edge cases,
and misleading reasoning in quantitative AI outputs
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- Provide structured, expert feedback to improve AI model reasoning and response quality
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- Apply your real-world teaching experience to evaluate whether explanations are pedagogically sound
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- Work independently and asynchronously on your own schedule
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Who You Are nn
- 3+ years of experience teaching econometrics or quantitative economics at the university or qualified level
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- Strong command of regression analysis, causal inference, time series, and statistical methods
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- Able to clearly evaluate and articulate quantitative reasoning in written form
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- Comfortable reviewing structured technical content with precision and consistency
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- Self-motivated and reliable when working independently on deadline-driven tasks
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Nice to Have nn
- Master's or PhD in Economics, Statistics, or a related field
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- Hands-on experience with statistical tools such as R, Stata, or Python
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- Familiarity with AI model evaluation, data annotation, or related workflows
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Why Join Us nn
- Work on cutting-edge AI projects with top research labs
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- Fully remote and flexible — work on your own schedule
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- Freelance perks: autonomy, variety, and global collaboration
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- Contribute to meaningful work that improves how AI handles complex quantitative reasoning
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- Potential for ongoing work and contract extension
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