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Investment Banking Expert - Evaluator - AI Trainer

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Mercor
Full Time position
Listed on 2026-08-11
Job specializations:
  • Finance & Banking
    Investment Banking, AI Evaluation, Financial Analyst
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below

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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