AfterQuery review · AI Training & Data Labeling
Econometrics Expert — AI Training (AfterQuery)
What the work involves
AfterQuery is hiring applied economists, econometricians and quantitative social scientists for a remote, project-based role. You'll author realistic empirical economics problems drawn from your own work — causal questions, panel data, choice models or forecasting — and work each one through to a reference answer, with the reasoning behind every step, so frontier AI labs can test model judgement. The value is in catching the identification and modelling mistakes that look reasonable but only a practitioner would spot.
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. Independent contractor with ongoing project work, paid weekly via Stripe. No screen recording, keystroke monitoring or idle timers.
What you'll do
- Author realistic empirical economics problems drawn from your work: causal questions, panel data, choice models or forecasting
- Work each problem through to a reference answer, with the reasoning behind every step
- Catch the identification and modelling mistakes that look reasonable but only a practitioner would spot
Requirements & eligibility
- Master's or PhD in economics or a related quantitative social science
- 3+ years full time in an empirical research or analytics role (internships and school don't count)
- Hands-on causal inference or econometric modelling experience
- Comfortable with Stata, R or Python
- Strong written English and able to explain an analysis clearly
- Able to commit at least 10 hours per week
- Experience running difference-in-differences, instrumental variables, regression discontinuity or synthetic control studies, or building time-series forecasts (preferred)
How to apply
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