Econometrics Instructor
Listed on 2026-10-16
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IT/Tech
AI Evaluation, Data Scientist, Data Annotation/ AI Labeling
The Role
We re looking for experienced econometrics instructors and quantitative economists to help shape how AI understands and explains statistical reasoning. Your deep subject matter expertise will directly influence the quality of AI models trained on econometric content — making a real impact on how the next generation of AI tackles causal inference, regression, and quantitative analysis.
- Organization:
Alignerr (Powered by Labelbox) - Type:
Hourly / Task-based Contract - Location:
Remote - Commitment: 10–40 hours/week
About
The Role
We re looking for experienced econometrics instructors and quantitative economists to help shape how AI understands and explains statistical reasoning. Your deep subject matter expertise will directly influence the quality of AI models trained on econometric content — making a real impact on how the next generation of AI tackles causal inference, regression, and quantitative analysis.
- Organization:
Alignerr (Powered by Labelbox) - Type:
Hourly / Task-based Contract - Location:
Remote - Commitment: 10–40 hours/week
- Review and validate econometric questions, models, and explanations used in AI training datasets
- Assess statistical accuracy, underlying assumptions, and interpretation of quantitative results
- Identify errors, edge cases, and misleading reasoning in AI-generated econometric content
- Provide clear, structured feedback to improve model reasoning and explanation quality
- Apply your real-world teaching and research experience to raise the bar for AI output
- Work independently and asynchronously on a schedule that fits your life
- 3+ years of experience teaching econometrics or quantitative economics at a college or university level
- Strong command of regression analysis, causal inference, and 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
- Master s or PhD in Economics, Statistics, or a related field
- Hands-on experience with statistical tools such as R, Stata, or Python
- Familiarity with AI model evaluation or data annotation workflows
- 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
- Get rare, behind-the-scenes exposure to how large language models are trained and evaluated
- Contribute to meaningful work that improves how AI handles complex quantitative reasoning
- Potential for ongoing work and contract extension
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