Econometrics Instructor
Alignerr · Miami, FL
CONTRACT
Posted Sep 6, 2026
Job Description
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 expertise will directly influence how AI systems reason through statistical models, causal inference, and economic analysis — making a real impact on one of the most technically demanding frontiers in AI development.
- Organization: Alignerr (Powered by Labelbox)
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Review and validate AI-generated econometric questions, models, and explanations for accuracy and rigor
- Assess statistical assumptions, methodology, and interpretation of results
- Identify errors, edge cases, and gaps in quantitative reasoning
- Provide structured, expert feedback to improve AI model clarity and correctness
- Apply your real-world teaching experience to evaluate how well concepts are explained
- Work independently and asynchronously on your own schedule
Who You Are
- 3+ years of experience teaching econometrics or quantitative economics
- Strong command of regression analysis, causal inference, and applied statistical methods
- Able to clearly evaluate and articulate quantitative reasoning at an expert level
- Comfortable reviewing structured technical content and providing detailed feedback
- Self-motivated and reliable working independently in a remote environment
Nice to Have
- Master's or PhD in Economics, Statistics, or a related field
- Proficiency with statistical tools such as R, Stata, or Python
- Prior experience with AI evaluation, annotation, or model training workflows
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
- Contribute to meaningful work that raises the bar for how AI handles quantitative reasoning
- Potential for ongoing work and contract extension
About The Role
We're looking for experienced econometrics instructors and quantitative economists to help shape the next generation of AI. Your expertise will directly influence how AI systems reason through statistical models, causal inference, and economic analysis — making a real impact on one of the most technically demanding frontiers in AI development.
- Organization: Alignerr (Powered by Labelbox)
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Review and validate AI-generated econometric questions, models, and explanations for accuracy and rigor
- Assess statistical assumptions, methodology, and interpretation of results
- Identify errors, edge cases, and gaps in quantitative reasoning
- Provide structured, expert feedback to improve AI model clarity and correctness
- Apply your real-world teaching experience to evaluate how well concepts are explained
- Work independently and asynchronously on your own schedule
Who You Are
- 3+ years of experience teaching econometrics or quantitative economics
- Strong command of regression analysis, causal inference, and applied statistical methods
- Able to clearly evaluate and articulate quantitative reasoning at an expert level
- Comfortable reviewing structured technical content and providing detailed feedback
- Self-motivated and reliable working independently in a remote environment
Nice to Have
- Master's or PhD in Economics, Statistics, or a related field
- Proficiency with statistical tools such as R, Stata, or Python
- Prior experience with AI evaluation, annotation, or model training workflows
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
- Contribute to meaningful work that raises the bar for how AI handles quantitative reasoning
- Potential for ongoing work and contract extension
Additional Details
- City
- Miami
- State
- Florida
- Country
- US
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