About this role
Econometrics Instructor (AI Training) About The Role We're looking for experienced econometrics instructors and quantitative economists to help shape how AI understands statistical reasoning, causal inference, and economic analysis. Your expertise will directly influence the quality and accuracy of next-generation AI systems — making a measurable impact on how these tools serve researchers, students, and professionals worldwide. 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 the statistical accuracy, underlying assumptions, and interpretation of quantitative results Identify errors, edge cases, and gaps in AI-generated economic reasoning Provide clear, structured feedback to improve model logic, clarity, and correctness Apply your real-world teaching experience to evaluate how well concepts are communicated Work independently and asynchronously on task-based assignments Who You Are 3+ years of experience teaching econometrics or quantitative economics at a college or university level Strong command of regression analysis, causal inference, and statistical methodology Able to clearly evaluate and articulate quantitative reasoning in written form Comfortable reviewing structured, technical content with precision and consistency Self-motivated and reliable in a remote, async work environment Nice to Have Master's or PhD in Economics, Statistics, or a related field Proficiency with statistical tools such as R, Stata, or Python Familiarity with AI model evaluation or data annotation workflows Why Join Us Work on cutting-edge AI projects with top research labs Fully remote and flexible — work on your own schedule Freelance perks: autonomy, variety, and global collaboration Contribute to meaningful work that improves how AI handles complex quantitative reasoning Potential for ongoing work and contract extension