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Job description
1. Role Overview
Mercor is partnering with a leading AI research organization to engage experienced investment banking professionals for a project focused on evaluating how well AI systems perform real-world banking work. Rather than producing deliverables yourself, you will define what excellent work looks like: designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications.
2. Key Responsibilities
Design precise, task-specific grading criteria for real-world banking deliverables (financial models, valuation analyses, pitch decks and CIMs, deal memos, board and committee materials)
Score AI-generated and human work samples against those criteria, with detailed written justifications for every score
Apply consistent, evidence-based judgment so that scores are reproducible and defensible
Incorporate structured feedback from senior reviewers and iterate quickly on your work
3. Ideal Qualifications
2+ years of professional investment banking experience (associate level or above)
Background at leading global investment banks or elite advisory boutiques, across M&A, coverage, or capital markets
Deep fluency in the day-to-day craft: three-statement and transaction modeling (DCF, LBO, comparables, merger math), valuation judgment, deal-process materials, and the formatting and accuracy standards of bank-quality work product
Exceptionally strong written communication, with the ability to explain exactly why a piece of work does or does not meet the bar
Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers
Prior experience with AI training, evaluation, or human-data projects is a strong plus
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Worksite address
dallas, TX, 75215, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.