Econometrics Instructor

About The Role

We're looking for experienced econometrics instructors and quantitative economists to help evaluate and improve how AI systems reason through statistical models, causal inference, and economic analysis. Your expertise will directly shape the quality of AI-generated econometric content — making a real impact on how the next generation of AI understands and explains quantitative economics.

Organization

Alignerr (Powered by Labelbox)

Type

Hourly / Task-based 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
• Audit statistical accuracy, underlying assumptions, and the soundness of result interpretation
• Identify errors, edge cases, and misleading reasoning in AI-generated quantitative content
• Provide clear, structured feedback to improve model reasoning and pedagogical clarity
• Apply your real-world teaching experience to set a higher standard for AI economic literacy
• Work independently and asynchronously on your own schedule

Who You Are

• 3+ years of experience teaching econometrics, quantitative methods, or applied statistics in an economics context
• Strong command of regression analysis, causal inference, hypothesis testing, and related statistical methods
• Able to clearly evaluate and articulate the quality of quantitative reasoning and explanations
• Comfortable reviewing structured, technical content at scale
• Self-motivated and reliable when working independently

Nice to Have

• Master's or PhD in Economics, Statistics, or a related quantitative field
• Hands-on experience with statistical tools such as R, Stata, or Python
• Familiarity with AI systems, model evaluation, or data annotation workflows