<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&amp;utm_source=webflow_jobby&amp;utm_medium=web&amp;utm_campaign=ai_training_jobs&amp;utm_content=role_topbar_revenue-cycle-analyst&amp;utm_role=revenue-cycle-analyst&amp;projects=HCO_SA">Apply now</a></nav></div></header><main class="wrap"><div class="rd-layout"><article><div class="rd-title"><h1>Revenue Cycle Analyst</h1></div><section class="rd-section"><h2>Overview</h2><p>Models describe the revenue cycle in clean theory and miss the mechanics that decide whether a claim pays: the real reason behind a CARC or RARC denial code, a payer rule that overrides the general one, an eligibility check that should have happened before the visit. Confident but unworkable billing advice quietly costs money, and an operator like you is who catches it.</p><p>As a Revenue Cycle Analyst you'll evaluate AI answers on claims, denials, and payer operations, and write the guidance an experienced revenue cycle professional would give.</p></section><section class="rd-section"><h2>What you’ll actually do</h2><ul><li><b>Write prompts</b> that probe revenue cycle scenarios: claim submission, eligibility and prior authorization, denial and appeal workflows, and remittance posting.</li><li><b>Review AI output</b> for wrong denial reasons, misread remittance codes, and payer rules that would not survive contact with a real plan, and rate the reasoning.</li><li><b>Write the correct answer</b> when the model falls short, grounded in day-to-day revenue cycle operations.</li></ul></section><section class="rd-section"><h2>Roles this fits</h2><p>Common backgrounds: Revenue Cycle Analyst, Claims Examiner, Health Plan Operations Analyst.</p></section><section class="rd-section"><h2>What we look for</h2><ul><li>Hands-on experience in revenue cycle, claims, or health plan operations.</li><li>Familiarity with denial and appeal workflows, remittance codes, and payer rules.</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 &amp; 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&amp;utm_source=webflow_jobby&amp;utm_medium=web&amp;utm_campaign=ai_training_jobs&amp;utm_content=role_rail_revenue-cycle-analyst&amp;utm_role=revenue-cycle-analyst&amp;projects=HCO_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/healthcare-operations"><h2>Healthcare Operations</h2><div class="card-foot"><span class="rate">$75 – $125+ <small>/ hr</small></span><span class="hired">71 hired recently</span></div></a><a class="card" href="/job-board/medical-coder"><h2>Medical Coder</h2><div class="card-foot"><span class="rate">$75 – $125+ <small>/ hr</small></span><span class="hired">34 hired recently</span></div></a><a class="card" href="/job-board/clinical-documentation-specialist"><h2>Clinical Documentation Specialist</h2><div class="card-foot"><span class="rate">$75 – $125+ <small>/ hr</small></span><span class="hired">18 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 &amp; Safety</a></div></div></footer></div>