Overview
We’re looking for an experienced Quantitative Economist to help train AI models. You’ll judge how well frontier models reason about economic questions, check their use of data and methods, and write the analysis a working economist would stand behind.
This is a new and growing area for our company: teaching AI to reason like an economist. The models can summarize the literature. What they can’t yet do reliably is weigh competing analyses of the same question, spot a flawed identification strategy, or tell an overstated conclusion from a supported one. Your judgment becomes the benchmark they are measured against.
What you’ll actually do
- Compare two competing economic analyses of the same question and judge which one an economist would rely on.
- Evaluate model output for analytical soundness, correct use of data, and appropriate methodology.
- Identify flawed assumptions, misread results, overstated conclusions, and gaps in reasoning.
- Write clear, well-structured explanations of your judgments and the standards behind them.
- Apply your domain knowledge to realistic problems drawn from applied economic research.
Roles this fits
Common backgrounds: Quantitative Economist, Econometrician, Economics PhD Candidate.
What we look for
- A PhD in economics (completed or in progress) or a master’s degree in economics is preferred. Undergraduate degrees in economics, finance, or business are also considered.