This is a remote, project-based role for applied economists, econometricians and quantitative social scientists with 3+ years of full time experience. You will author realistic empirical economics problems drawn from your work, covering causal questions, panel data, choice models, or forecasting, and work each one through to a reference answer that frontier AI labs use to test model judgment. Work is fully async with no fixed hours, a minimum of 10 hours per week and no maximum, and you can scale up or down week to week. This is an independent contractor role with ongoing project work, paid weekly via Stripe, with no screen recording, keystroke monitoring, or idle timers.Responsibilities Author realistic empirical economics problems drawn from your work: causal questions, panel data, choice models, or forecastingWork each problem through to a reference answer,



with the reasoning behind every stepCatch the identification and modeling mistakes that look reasonable but only a practitioner would spotRequired Qualifications Master's or PhD in economics or a related quantitative social science3+ years full time in an empirical research or analytics role (internships and school don't count)Hands-on causal inference or econometric modeling experienceComfortable with Stata, R or PythonStrong written English and able to explain an analysis clearlyAble to commit at least 10 hours per weekPreferred Qualifications Experience running difference in differences, instrumental variables, regression discontinuity or synthetic control studies, or building time series forecastsWhy apply Work stays in your specialty, judged on empirical judgment rather than volumeSet your own hours and scale up or down week to weekWeekly pay via StripeYour judgment shapes how the next generation of AI handles economic analysis#J-18808-Ljbffr

📌 Econometrics expert (Ourense)
🏢 AfterQuery
📍 Ourense