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mercor

mercor

Finance Expert - AI Model Evaluator

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Fully RemoteData & AIUnited States

Salary

Not listed

Posted

1mo ago

Work setup

Fully Remote

Finance SpecialistAI model evaluationLLM EvaluationData EvaluationFinance AI Expert

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Finance Specialist
Type:Contract
Compensation:$65–$90/hour
Location:Remote

Role Responsibilities

  • Guide research and engineering teams to close knowledge gaps in financial reasoning, analysis, and decision-making.
  • Design challenging, domain-relevant finance tasks and write accurate, well-reasoned solutions grounded in real financial practice.
  • Evaluate AI model outputs against structured rubrics and provide clear, written feedback on correctness, judgment, and reasoning quality.
  • Develop and refine evaluation guidelines and scoring rubrics specific to finance tasks.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications

Must-Have

  • 8+ years of dedicated professional experience in finance (e.g., investment banking, asset management, corporate finance, financial advisory) at a recognized, top-tier organization (e.g., Goldman Sachs, JPMorgan, Morgan Stanley, BlackRock, Fidelity, Deloitte, PwC, EY, KPMG, or equivalent).
  • Prior hands-on experience evaluating LLM/AI model outputs against rubrics or structured scoring criteria.
  • Demonstrable career progression (e.g., Analyst → Associate → VP/Director).
  • Ability to engage reliably for at least 35 hours/week during weekdays.
  • Verbal and written communication skills, problem-solving skills, and interpersonal skills.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check:
  • For any help or support, reach out to:

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Before you apply

  • Confirm data stack maturity (warehouse, transformation, BI tooling)
  • Ask whether the role is analyst-leaning or ML/eng-leaning
  • Check data quality ownership — who owns the source-of-truth?

Interested in this role?

Apply on the original posting. No account required.

Listing via Himalayas

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