Econometrics Instructor

About The Role

We're looking for experienced econometrics instructors and quantitative economists to help shape the next generation of AI. Your expertise in statistical modeling, causal inference, and economic reasoning will directly influence how AI systems understand and explain complex econometric concepts. This is a fully remote, flexible contract role — work on your own schedule while making a meaningful contribution to cutting-edge AI development.

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 to train AI systems
• Audit the statistical accuracy, underlying assumptions, and interpretation of quantitative results
• Identify errors, misconceptions, and edge cases that could mislead AI reasoning
• Provide clear, structured feedback to improve model outputs for accuracy and clarity
• Apply your real-world teaching experience to ensure explanations are both correct and pedagogically sound
• Work independently and asynchronously to complete task-based assignments on your schedule

Who You Are

• 3+ years of experience teaching econometrics, quantitative methods, or applied statistics
• Strong command of regression analysis, causal inference, and statistical modeling
• Able to critically evaluate and clearly explain quantitative reasoning
• Comfortable working with structured, technical content at scale
• Self-motivated and reliable in a remote, asynchronous environment

Nice to Have

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