Investment Banker

Overview

Models write a pitch deck's worth of confident deal analysis and miss what a deal team lives on: a comps set stuffed with the wrong peers, an accretion/dilution model that ignores the financing, a synergy number pulled from thin air. Someone has to catch it before it reaches a client, and that someone is you.

As an Investment Banker you'll evaluate AI-generated deal analysis, check the valuation and the transaction mechanics, and write the judgments that teach models how a real banker defends a number.

What you’ll actually do

• Review AI deal analysis across M&A and financings: comparable companies, precedent transactions, and DCF.
• Pressure-test the mechanics: accretion/dilution, sources and uses, and synergy assumptions that don't survive a second look.
• Write the banker-grade answer when the model falls short, with a valuation range you could defend in a live process.

Roles this fits

Common backgrounds: Investment Banking Analyst, M&A Associate, Transaction Advisory.

What we look for

• Professional experience in investment banking, M&A, or transaction advisory.
• Fluency with valuation: comps, precedents, DCF, and accretion/dilution.
• Clear written English: your explanations are the training signal.
• No degree required. We care about what you can do, not where you learned it.

How it works

Apply

Qualify

Work & get paid

Compensation

Up to $75 – $125+/hr depending on task difficulty and specialization. Many contributors add $10k–$100k+ a year; some make it their full-time income.

About DataAnnotation

DataAnnotation is where 100k+ experts train the world’s leading AI models. $150M+ paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.