Econometrics Instructor

Econometrics Instructor (AI Training)

About the Role

We're looking for experienced econometrics instructors and quantitative economists to help shape how AI understands and reasons through statistical and economic analysis. Your expertise will directly influence the quality of AI-generated econometric content — from regression models to causal inference — making a real impact on how the next generation of AI systems think about data.

• 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
• Assess statistical accuracy, underlying assumptions, and interpretation of quantitative results
• Identify errors, logical gaps, and edge cases in AI-generated economic reasoning
• Provide clear, structured feedback to improve model outputs and explanatory quality
• Apply your real-world teaching experience to ensure content is both technically rigorous and easy to understand
• Work independently and asynchronously on a schedule that fits your life

Who You Are

• 3+ years of experience teaching econometrics, quantitative economics, or related fields
• Strong command of regression analysis, causal inference, and core statistical methods
• Able to clearly evaluate and articulate quantitative reasoning at an expert level
• 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
• Prior familiarity with AI model evaluation or data annotation workflows

Why Join Us

• Work on cutting-edge AI projects with leading research organizations
• Fully remote and flexible — work on your own schedule, from anywhere
• Freelance perks: autonomy, intellectual variety, and global collaboration
• Contribute to meaningful work that shapes how AI reasons about economics and data
• Potential for ongoing work and contract extension