Econometrics Instructor

About The Role We're looking for experienced econometrics instructors and quantitative economists to help shape the next generation of AI. Your deep knowledge of statistical methods, causal inference, and economic modeling will directly influence how AI systems reason through complex quantitative problems — making a real and lasting impact on the field. Econometrics Instructor (AI Training) About The Role We're looking for experienced econometrics instructors and quantitative economists to help shape the next generation of AI. Your deep knowledge of statistical methods, causal inference, and economic modeling will directly influence how AI systems reason through complex quantitative problems — making a real and lasting impact on the field. This is a fully remote, flexible contract role powered by Alignerr (a Labelbox company), working alongside top AI research labs on cutting-edge model development. Organization: Alignerr (Powered by Labelbox) Type: Hourly / Task-based 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 the interpretation of quantitative results Identify errors, edge cases, and misleading reasoning in AI-generated economic analysis Provide clear, structured feedback to improve model reasoning, depth, and pedagogical clarity Apply your real-world teaching experience to ensure AI explanations meet the standards of expert instruction Work independently and asynchronously to complete task-based assignments on your own schedule Who You Are 3+ years of experience teaching econometrics, quantitative economics, or related statistical disciplines Strong command of regression analysis, causal inference, hypothesis testing, and statistical modeling Able to evaluate and articulate quantitative reasoning with precision and clarity Comfortable reviewing structured technical content and providing actionable written feedback Self-motivated and reliable when working independently in a remote environment 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 Familiarity with AI model evaluation workflows or data annotation platforms Background in applied econometrics, policy analysis, or academic research Why Join Us Work on cutting-edge AI projects with leading research labs at the frontier of model development Fully remote and flexible — complete tasks on your own schedule, from anywhere Freelance perks: full autonomy, variety of tasks, and collaboration with a global expert community Contribute to meaningful work that shapes how AI understands and teaches quantitative reasoning Potential for ongoing work and contract extension based on performance #J-18808-Ljbffr Alignerr Corp.