We're looking for experienced econometrics instructors and quantitative economists to help shape how AI understands and reasons about statistical methods, causal inference, and economic modeling. Your subject-matter expertise will directly influence the quality and accuracy of next-generation AI systems — making a real impact on how these tools serve researchers, students, and professionals worldwide.
Review and validate econometric questions, models, and explanations used in AI training datasets
Assess statistical accuracy, underlying assumptions, and interpretation of quantitative results
Identify errors, edge cases, and misleading reasoning in AI-generated economic content
Provide clear, structured feedback to improve model reasoning and explanation quality
Apply your real-world teaching experience to evaluate content for both technical correctness and pedagogical clarity
Work independently and asynchronously on your own schedule
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, hypothesis testing, and statistical methods
Able to clearly evaluate and articulate quantitative reasoning, including common misconceptions
Comfortable reviewing structured, technical content with attention to detail and precision
Self-directed and reliable when working independently on task-based assignments
Nice to Have
Master's or PhD in Economics, Statistics, or a related quantitative field
Proficiency with statistical tools such as R, Stata, or Python
Familiarity with AI model evaluation workflows or data annotation platforms
Experience writing or reviewing textbook-level explanations of quantitative methods
Why Join Us
Work on cutting-edge AI projects with top research labs
📌 Econometrics Instructor (Buenos Aires)
🏢 Alignerr
📍 Buenos Aires
Postulate a este anuncio
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.