For financial analysts
Quantitative and regulatory reasoning is one of the domains where models improve fastest with a working analyst's judgment in the loop. The rate and volume of expert work in this field is climbing.
Financial reasoning is a distinctive test for AI. It combines quantitative work that must be exactly right, regulatory context that varies by jurisdiction, and the softer judgment of what a real analyst would flag as worth investigating. Frontier AI labs have moved aggressively into financial reasoning in the last year, and the demand for practicing analysts to correct model outputs has expanded with it.
The work sits in front of two audiences the labs care about: their enterprise buyers, who want AI that can genuinely help with financial analysis, and their researchers, who need the evaluation data to know whether their models are actually good at it. Neither audience is served by evaluators without financial training. That is the gap current analysts are being paid to close.
What the work looks like
- Response evaluation. You review model outputs on prompts covering equity analysis, credit risk, portfolio construction, financial statement analysis, or regulatory interpretation, and score them against what a working analyst would produce.
- Question authoring. You write realistic analyst scenarios, at the level of a case interview or a real work-product, dense enough for models to learn from.
- Adversarial testing. You construct prompts where the model is likely to give a confident, textbook-correct answer that misses a specific regulatory nuance or a subtle balance-sheet flag.
- Rubric review. You audit the criteria the lab is using to grade financial outputs and flag anything that would let bad practice through.
The work is asynchronous. Sessions run in blocks of two to four hours. Deliverables are structured.
What labs actually look for
CFA, CPA, or equivalent professional credentials, or verifiable practice as a working analyst in equity research, credit, banking, corporate finance, or a related area. Written English at the level a research report or investment memo expects.
They do not look for AI experience. They look for depth in the discipline.
Where the pay lands
Rates are in USD. For analysts in emerging markets, the rate for expert work typically compares against Western financial-services scales, which is meaningfully above local salary in most jurisdictions. For analysts in higher-cost markets, it is competitive with consulting or advisory on an hourly basis.
How to enter
Sign up, upload a recent CV that shows your credentials and current work, and let the platform surface open roles in financial annotation, evaluation, and adversarial testing. Apply where the fit is honest.
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