Models write an equity note that sounds like the sell side and falls apart under a covering analyst's read: an estimate that ignores guidance, a target price with no bridge from the model, a thesis that forgets the last three quarters actually happened.
Remote AI Expert - Finance Jobs in North America 2026
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Models give financial advice that sounds reassuring and quietly ignores the client: a tax-blind withdrawal plan, an allocation that forgets the time horizon, an estate suggestion that would fall apart in probate.
Models approve a borrower that any underwriter would flag: cash-flow coverage computed off the wrong line, covenants that don't bite, a rating that ignores where we are in the cycle. Someone has to find the default risk hiding in a clean-looking spread, and that someone is you.
Ask a model to build a forecast and it returns a clean-looking model whose drivers do not connect, whose assumptions defy the business, and whose variance bridge does not tie to actuals. The formatting is immaculate; the logic leaks.
Models build an LBO that returns a tidy IRR and skip the parts that make or break a deal: a debt schedule that ignores the covenants, an entry multiple with no exit story, diligence that takes management's projections at face value.
Models write a pitch deck's worth of confident deal analysis and miss what a deal team lives on: a comps set stuffed with the wrong peers, an accretion/dilution model that ignores the financing, a synergy number pulled from thin air.
Models can recommend a portfolio that reads well and quietly breaks every rule that matters: concentrated bets dressed as diversification, a Sharpe ratio computed on overlapping exposures, position sizing that ignores liquidity and drawdown.
Models handle textbook finance fine and fall apart on the real thing: mispriced risk, subtly wrong derivations, and models that ignore market microstructure.
Models can build a three-statement model that looks clean and still get the mechanics wrong: a balance sheet that doesn't balance, working capital that flows the wrong way, a circular reference silently zeroed out.
We're hiring finance experts to evaluate AI-generated outputs related to transaction finance. Our goal is to improve how artificial intelligence processes complex financial data and structures transaction-related information.
Mercor is hiring experienced private equity associates to build a financial model from a synthetic deal document pack, then peer-review models built by two other contractors on the same transaction.
Practitioner finance experts to write and review real world finance scenarios and grade how AI models handle them. AfterQuery works with leading AI labs to improve how their models handle real world finance.
We are building expert-authored forecasting and research data used to evaluate and improve AI models on real macro analysis.
We are partnering with a biotech and pharma research team on expert human-evaluation work — creating and critiquing rubrics that analyze commercial drugs and drug-development programs.
We are building expert-authored forecasting and research data used to evaluate and improve AI models on real financial analysis.
We are building expert-authored forecasting and research data used to evaluate and improve AI models on real financial analysis.
hiring experienced Financial Managers to help evaluate and improve cutting-edge AI systems. In this role, you'll evaluate AI-generated financial management content and workflows, leveraging your real-world expertise in overseeing accounting, banking, credit, and financial…
As a Finance Domain Expert, you will collaborate with AI and engineering teams to improve the performance of financial AI models by defining workflows, creating evaluations, curating data, and providing domain-specific insights.
The research teams behind the best-known AI models come to Mercor for financial judgment they can't generate on their own. Your standards and expertise become the rubric that frontier AI is graded against.
The research teams behind the best-known AI models come to Mercor for investment management judgment they can't generate on their own. Your standards and expertise become the rubric that frontier AI is graded against.
The research teams behind the best-known AI models come to Mercor for investment banking judgment they can't generate on their own. Your standards and expertise become the rubric that frontier AI is graded against.
We are building expert-authored forecasting and research data used to evaluate and improve AI models on real financial analysis.
We are building expert-authored forecasting and research data used to evaluate and improve AI models on real macro analysis.
We are building expert-authored forecasting and research data used to evaluate and improve AI models on real financial analysis.