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Finance Domain Expert — AI Training & Evaluation

Mercor Experts · Bay Area, CA, USA · AI model evaluation

Finance Domain Expert — AI Training & Evaluation is an open role at Mercor Experts, located in Bay Area, CA, USA, with pay listed as $60–$100/hr.

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At a glance

Pay
$60–$100/hrStated by Mercor Experts
Location
Bay Area, CA, USA
Field
Finance
Listed
Since Aug 13, last confirmed Oct 28

How the pay compares

This role$100
Mercor Experts median$105
Finance roles median$100
All roles median$60

Higher than 42% of the 75 distinct hourly rates advertised for Finance roles right now. Hourly USD, top of each advertised range, one count per distinct rate. Same method as the Pay Index.

From Mercor Experts’ listing

“Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models.”
Show the full listing

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models.

1. Overview

We are hiring a senior finance domain expert to work directly with a leading AI lab's research and program management teams, improving how frontier AI models reason about real financial work.

Your finance expertise is the substance of this role. You will review the quality of finance knowledge work tasks, write the instruction specs and golden solutions that define what "correct" looks like, and build the benchmarks that show whether the model is genuinely improving. We are looking for a practising specialist rather than a generalist.

This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. You will be provisioned with client-issued accounts and equipment, and will work inside the client's own tools alongside their research teams.

Location: This is a hybrid role based in the Bay Area, California. You must live in the Bay Area and work on-site with the client's team multiple days each week, when required. This is not a remote role. If you do not currently live in the Bay Area, you must be willing to relocate there at your own cost before the engagement starts — relocation assistance is not provided.

2. Key Responsibilities

  • Data QA and reviews: Vet the quality of finance knowledge work tasks and model outputs — spotting missing behaviors, thin reasoning, flawed assumptions, and answers that read well but would not survive professional scrutiny.
  • Instruction specs and golden datasets: Write high-quality instruction specs, produce golden solutions to financial problems, and define new finance tasks that reflect how the work is actually done in practice.
  • Benchmarks and domain depth: Design challenging finance tasks and evaluation sets, and

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Frequently asked questions

How do I apply for the Finance Domain Expert — AI Training & Evaluation role at Mercor Experts?

Applications go through Mercor Experts's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. Mercor Experts's access model is "Apply" (Profile / role application). This listing was first seen here on August 13, 2026 and was still live at the last check.

Is the Finance Domain Expert — AI Training & Evaluation role at Mercor Experts remote?

This role is listed for: Bay Area, CA, USA.

What does the Finance Domain Expert — AI Training & Evaluation role at Mercor Experts pay?

Mercor Experts lists this role's pay as $60–$100/hr, quoted from the listing rather than estimated.

What kind of work is Finance Domain Expert — AI Training & Evaluation?

AI model evaluation. Law, medicine, finance, engineering, operations and AI evaluation

Is Mercor Experts a legitimate AI-training platform?

Direct expert network - and that relationship is rated "Confirmed" here because it can be checked against www.mercor.com rather than taken on Mercor Experts's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.

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