Finance Domain Expert - AI Training & Evaluation

Weekday AI; California City (CA); Hybrid; USD 83,000 - 138,000; Full time

Job summary

Weekday AI is seeking 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.

The role requires on-site presence in the Bay Area, hybrid work, and relocation if not currently based there. You will craft instruction specs, gold solutions, and benchmarks to drive high-quality finance tasks.

Qualifications

• 5+ years of dedicated professional finance experience at a recognized institution.
• Genuine specialization in at least one core finance discipline.
• Senior IC or leadership progression with ownership of analysis.
• MBA/MS/PhD in finance, economics, accounting, or a professional credential preferred.
• Hands-on use of large language models in professional work.
• Available for 40 hours per week for an initial 6-month engagement.
• Based in the Bay Area, willing to relocate if not already there.

Responsibilities

• QA and review finance knowledge work tasks and model outputs.
• Write instruction specs and golden solutions for financial problems.
• Define finance benchmarks and evaluation sets with domain depth.
• Translate tacit financial judgment into explicit criteria.

Skills

Data QA

Benchmark design

Instruction specs

Finance domain depth

Senior IC

AI fluency

Education

MBA or MS in finance

CFA/CPA/FRM

Job description

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.