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

Responsibilities

• Review and validate econometric questions, models, and explanations used to train AI systems
• Assess 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

Requirements

• 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

Benefits

• Work on cutting-edge AI projects with top research labs
• Fully remote and flexible — work whenever and wherever suits you
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that improves how AI reasons about economics and data
• Potential for ongoing work and contract extension