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Open nowPosted 17 days ago

Finance Domain Expert - AI Training & Evaluation

Workable (global search)108,016 open roles

Where
California City, CA, United States
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Your applicationOpen nowFinance Domain Expert - AI Training & EvaluationWorkable (global search) · California City, CA, United States

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Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 17 days ago

Workable (global search) median: 7 days open

The posting

This role is for one of our clients

Compensation: $60-$100 per hour

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.

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.

Requirements

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 help build finance-specific skills and tools together with the research team.
  • Calibration: Work with client researchers and specialists in adjacent fields to keep standards consistent, translating tacit financial judgment into explicit, teachable criteria.

Core Qualifications

  • Experience: 5+ years of substantive, dedicated professional finance experience at a recognized institution — for example an investment bank, asset manager, private equity or credit fund, Big Four firm, a large corporate finance function, or a financial regulator. Generalist roles that only touch finance peripherally do not count.
  • Domain depth: Genuine specialization in at least one core finance discipline, for example corporate finance and FP&A, investment banking and M&A, asset or wealth management, private equity or private credit, quantitative finance and risk management, treasury, or accounting and audit.
  • Seniority: Clear progression to a senior individual-contributor or leadership level — for example Vice President, Director, Principal, Managing Director, Portfolio Manager, Controller, or CFO — with real ownership of analysis and decisions.
  • Education and credentials: An advanced degree from a strong program (MBA, MS, or PhD in finance, economics, accounting, or a quantitative field) and/or a recognized professional credential such as CFA, CPA, FRM, or an actuarial designation. Strongly preferred.
  • AI fluency: Hands-on working use of large language models in your professional work, and the judgment to tell a well-reasoned answer from a plausible-sounding wrong one.
  • Availability: Able to commit reliably to 40 hours per week for an initial engagement of 6 months.
  • Location: Living in the Bay Area, California, and able to work on-site with the client's team multiple days each week, when required. Candidates not currently based in the Bay Area must be willing to relocate there at their own cost; relocation assistance is not provided.
  • Excellent written communication, and the ability to give precise, well-structured written feedback.
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