Econometrics Instructor

About The Role

We're looking for experienced econometrics instructors and quantitative economists to help shape how AI understands statistical reasoning, causal inference, and economic modeling. Your expertise will directly influence the quality and accuracy of next-generation AI systems — work that matters at a global scale.

Organization

Alignerr (Powered by Labelbox)

Type

Hourly 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 the statistical accuracy, underlying assumptions, and interpretation of quantitative results
• Identify errors, edge cases, and gaps in AI-generated economic reasoning
• Provide clear, structured feedback to improve model clarity and analytical rigor
• Apply your real-world teaching experience to evaluate content the way a student or practitioner would encounter it
• Work independently and asynchronously on a schedule that works for you

Who You Are

• 3+ years of experience teaching econometrics, quantitative economics, or closely related fields
• Strong command of regression analysis, causal inference, hypothesis testing, and statistical interpretation
• Able to clearly evaluate and explain complex quantitative reasoning in writing
• Comfortable reviewing structured technical content with precision and consistency
• Self-motivated and reliable when working independently on task-based assignments

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