About this role
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Role Overview
our partner is hiring experienced investment bankers to build and review evaluation tasks for AI agents.
Each task is set in a realistic simulated bank or deal team, with the filings, models, data-room documents, emails and deal tools bankers really work from.
You make sure each task reads like a real request, the reference model and outputs hold up against the source documents, and the grading rubric checks what a VP or MD would check.
Key Responsibilities
Refine AI-drafted task prompts so they read like a real request from a deal team or client, without giving the answer away.
Check reference models and outputs against the world's files and app records, and correct what is wrong.
Write and tighten grading rubrics: pass/fail criteria with exact values, plus the judgment calls a generalist would miss.
Read how leading AI models attempt each task and confirm they fail for fair, defensible reasons.
Work across sell-side and buy-side M&A, purchase-price mechanics and diligence, comps, precedents, DCF, LBO and merger models, IPOs and follow-ons, debt capital markets and leveraged finance, restructuring and liability management, and sector coverage from FIG and healthcare to TMT, consumer, industrials and energy.
Ideal Qualifications
3+ years in investment banking (Analyst, Associate, VP or above). Time in the industry matters more than title.
Bulge-bracket or elite-boutique experience preferred.
Hands-on valuation and transaction modeling (DCF, LBO, comps) in M&A, ECM / DCM, leveraged finance or restructuring.
Bachelor's degree or higher in business, economics, finance, accounting or a related field.
Prior experience on a our partner RL project is a plus.
Details
Pay: $110/hour.
You start with a short onboarding session and a paid skills assessment. Once you pass, you can claim your first task right away.
Strong performers can move into reviewer and world lead roles.
This is a 100% remote contract role, open to applicants worldwide in the countries the employer accepts.
