Econometrics Instructor (AI Training) About The Role We're looking for experienced econometrics instructors and quantitative economists to help shape how the next generation of AI understands statistical reasoning. Your expertise will directly influence how AI models explain regression, causal inference, and economic analysis — making a real impact on the quality of AI in one of the most technically demanding fields.

Organization: Alignerr (Powered by Labelbox)

Type: Hourly Contract

Location: Remote

Commitment: 10–40 hours/week What You'll Do Review and validate AI-generated econometric questions, models, and explanations used in AI training

Assess statistical accuracy, underlying assumptions, and interpretation of quantitative results

Identify errors, edge cases, and gaps in AI reasoning using your real-world teaching experience

Provide clear, structured feedback to improve how AI models reason through complex economic problems

Work independently and asynchronously — on your schedule,



at your pace Who You Are 3+ years of experience teaching econometrics or quantitative economics at a college or professional level

Strong command of regression analysis, causal inference, and statistical methods

Able to clearly evaluate and articulate quantitative reasoning and model outputs

Comfortable reviewing structured, technical content with precision and rigor

Self-motivated and reliable when working independently Nice to Have Master's or PhD in Economics, Statistics, or a related field

Hands-on experience with statistical tools such as R, Stata, or Python

Familiarity with AI model evaluation or data labeling workflows Why Join Us Work on cutting-edge AI projects with top research labs

Fully remote and adaptable — work on your own schedule

Freelance perks: autonomy, variety, and global collaboration

Contribute to meaningful work that raises the bar for AI in quantitative fields

Potential for ongoing work and contract extension

📌 Econometrics Instructor (Ciudad de México)
🏢 Alignerr
📍 Ciudad de México