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

Responsibilities

• Review and validate econometric questions, models, and explanations used in AI training datasets
• Assess 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

Requirements

• 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

Skills

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

Benefits

• Work on cutting-edge AI projects with top research labs and AI organizations
• Fully remote and flexible — work on your own schedule, from anywhere
• Freelance perks: autonomy, variety, and collaboration with experts around the world
• Contribute to meaningful work that raises the bar for AI in quantitative reasoning
• Potential for ongoing work and contract extension