Business Services & Consulting • all cities, VT 47
Econometrics Instructor (47)
all cities, VT 47On-sitePosted 1 day ago
Business Services & Consulting
About the Role
Econometrics Instructor
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
Econometrics Instructor
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
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
