Applied Economist (AI research project) - Pareto.AI
17 hours ago
Valencia
About the Project Pareto.AI is a human data-collection platform connecting leading AI researchers with trusted industry experts to collaborate on AI alignment, safety, and training projects. We are partnering with a frontier AI lab to evaluate an AI model's ability to replicate empirical economics research findings. What You'll Do • Identify suitable causal economics papers with publicly available replication data, • Write prompts asking the AI model to replicate findings given a research question, dataset, codebook, and context, • Write rubrics to evaluate the AI model's performance across each step of the empirical pipeline:, • Data cleaning, • Variable construction, • Specification choice, • Robustness judgment Who We're Looking For • PhD in Economics (required), • Hands-on experience with causal inference methods — DiD, IV, RDD, RCT, natural experiments, • Familiarity with replication-friendly microdata — NLSY, ACS, CPS, administrative data, • Proficient in STATA, R, or Python, • Strong understanding of empirical research workflow from raw data to published results, • Bonus: experience with AI/ML tools or interest in AI evaluation Ideal Background • Active or former academic economist at a research university, • Published or working papers in applied microeconomics, • Fields: labor, health, development, public, environmental economics Why Join • Contribute to cutting-edge AI safety and alignment research, • Flexible part-time remote work — task-based engagement, • Collaborate with a global network of economists and AI researchers, • Competitive compensation per completed task, • Compensation - $100/hr USD Apply: To apply, submit your CV. We review every application personally — no automated screening. If your background is a strong fit, you'll receive a direct link to join the project and complete your application.