PbAbout the Project /b /ppPareto.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. /ppbr/ppbWhat You'll Do /b /pulliIdentify suitable bcausal economics papers /b with publicly available replication data /liliWrite bprompts /b asking the AI model to replicate findings given a research question, dataset, codebook, and context /liliWrite brubrics /b to evaluate the AI model's performance across each step of the empirical pipeline: /liliData cleaning /liliVariable construction /liliSpecification choice /liliRobustness judgment /li /ulpbr/ppbWho We're Looking For /b /pullibPhD in Economics /b (required) /liliHands-on experience with bcausal inference methods /b — DiD, IV, RDD, RCT, natural experiments /liliFamiliarity with breplication-friendly microdata /b — NLSY, ACS, CPS, administrative data /liliProficient in bSTATA, R, or Python /b /liliStrong understanding of bempirical research workflow /b from raw data to published results /liliBonus: experience with bAI/ML tools /b or interest in AI evaluation /li /ulpbr/ppbIdeal Background /b /pulliActive or former academic economist at a research university /liliPublished or working papers in applied microeconomics /liliFields: labor, health, development, public, environmental economics /li /ulpbr/ppbWhy Join /b /pulliContribute to cutting-edge bAI safety and alignment research /b /lilibFlexible part-time remote work /b— task-based engagement /liliCollaborate with a global network of economists and AI researchers /liliCompetitive compensation per completed task /lilibCompensation - $100/hr USD /b /li /ulpbr/ppbApply: /b /ppTo 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. /p