<div class="datj"><header class="topbar"><div class="topbar-in"><a class="back" href="/"><span class="back-arrow">←</span>All roles</a><nav class="topbar-actions"><a class="link-quiet" href="https://app.dataannotation.tech/users/sign_in">Sign in</a><a class="btn btn-primary" href="https://app.dataannotation.tech/worker_signup?worker_src=ai_jobs&utm_source=webflow_jobby&utm_medium=web&utm_campaign=ai_training_jobs&utm_content=role_topbar_private-equity-associate&utm_role=private-equity-associate&projects=FIN_SA">Apply now</a></nav></div></header><main class="wrap"><div class="rd-layout"><article><div class="rd-title"><h1>Private Equity Associate</h1></div><section class="rd-section"><h2>Overview</h2><p>Models build an LBO that returns a tidy IRR and skip the parts that make or break a deal: a debt schedule that ignores the covenants, an entry multiple with no exit story, diligence that takes management's projections at face value. Someone has to underwrite it like their own capital is at stake, and that someone is you.</p><p>As a Private Equity Associate you'll evaluate AI-built LBO models and diligence, check the return drivers and the downside, and write the judgments that teach models how private-market deals are underwritten.</p></section><section class="rd-section"><h2>What you’ll actually do</h2><ul><li><b>Underwrite AI-built LBOs</b>: entry and exit multiples, the debt schedule, and the return bridge that explains the IRR.</li><li><b>Test the diligence</b>: management projections, market claims, and the downside case the model conveniently skipped.</li><li><b>Write the investment-committee answer</b> when the model falls short, with returns and risks a partner would sign.</li></ul></section><section class="rd-section"><h2>Roles this fits</h2><p>Common backgrounds: Private Equity Associate, Growth Equity Analyst, Due Diligence Analyst.</p></section><section class="rd-section"><h2>What we look for</h2><ul><li>Experience in private equity, growth equity, or transaction diligence.</li><li>Fluency with LBO modeling and the mechanics of leveraged deals.</li><li>Clear written English: your explanations are the training signal.</li><li>No degree required. We care about what you can do, not where you learned it.</li></ul></section><section class="rd-section"><h2>How it works</h2><div class="rd-steps"><div class="rd-step"><span class="rd-step-n"></span><h3>Apply</h3></div><div class="rd-step"><span class="rd-step-n"></span><h3>Qualify</h3></div><div class="rd-step"><span class="rd-step-n"></span><h3>Work & get paid</h3></div></div></section><section class="rd-section"><h2>Compensation</h2><p>$75 – $125+/hr depending on task difficulty and specialization. Many contributors add $10k–$100k+ a year; some make it their full-time income.</p></section><section class="rd-section"><h2>About DataAnnotation</h2><p>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.</p></section></article><aside class="rail"><span class="rail-label">Hourly rate</span><span class="rate rail-rate">$75 – $125+ <small>/ hour</small></span><div class="rail-meta"><div class="rail-row"><span>Location</span><span>Remote</span></div><div class="rail-row"><span>Commitment</span><span>Flexible hours</span></div><div class="rail-row"><span>Type</span><span>Independent contractor</span></div><div class="rail-row"><span>Payouts</span><span>Weekly</span></div></div><a class="btn btn-primary btn-lg rail-btn" href="https://app.dataannotation.tech/worker_signup?worker_src=ai_jobs&utm_source=webflow_jobby&utm_medium=web&utm_campaign=ai_training_jobs&utm_content=role_rail_private-equity-associate&utm_role=private-equity-associate&projects=FIN_SA">Apply now</a></aside></div><section class="similar"><div class="proof-head"><h2>Similar roles</h2><a class="see-all" href="/">View all roles →</a></div><div class="grid"><a class="card" href="/job-board/finance-expert"><h2>Finance Expert</h2><div class="card-foot"><span class="rate">$75 – $125+ <small>/ hr</small></span><span class="hired">67 hired recently</span></div></a><a class="card" href="/job-board/quantitative-analyst"><h2>Quantitative Analyst</h2><div class="card-foot"><span class="rate">$75 – $125+ <small>/ hr</small></span><span class="hired">48 hired recently</span></div></a><a class="card" href="/job-board/investment-banker"><h2>Investment Banker</h2><div class="card-foot"><span class="rate">$75 – $125+ <small>/ hr</small></span><span class="hired">29 hired recently</span></div></a></div></section></main><footer class="footer"><div class="footer-in"><p>© DataAnnotation</p><div class="footer-links"><a href="https://www.dataannotation.tech/">dataannotation.tech</a><a href="https://www.dataannotation.tech/faqs">FAQs</a><a href="https://www.dataannotation.tech/trust-safety">Trust & Safety</a></div></div></footer></div>