About the ProjectPareto.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 DoIdentify suitablecausal economics paperswith publicly available replication dataWritepromptsasking the AI model to replicate findings given a research question, dataset, codebook, and contextWriterubricsto evaluate the AI model's performance across each step of the empirical pipeline:Data cleaningVariable constructionSpecification choiceRobustness judgmentWho We're Looking ForPhD in Economics(required)Hands-on experience withcausal inference methods— DiD, IV, RDD, RCT, natural experimentsFamiliarity withreplication-friendly microdata— NLSY, ACS, CPS, administrative dataProficient inSTATA, R, or PythonStrong understanding ofempirical research workflowfrom raw data to published resultsBonus: experience withAI/ML toolsor interest in AI evaluationIdeal BackgroundActive or former academic economist at a research universityPublished or working papers in applied microeconomicsFields: labor, health, development, public, environmental economicsWhy JoinContribute to cutting-edgeAI safety and alignment researchFlexible part-time remote work— task-based engagementCollaborate with a general network of economists and AI researchersCompetitive compensation per completed taskCompensation - $100/hr USDApply: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.