<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_registered-nurse&utm_role=registered-nurse&projects=MED">Apply now</a></nav></div></header><main class="wrap"><div class="rd-layout"><article><div class="rd-title"><h1>Registered Nurse</h1></div><section class="rd-section"><h2>Overview</h2><p>Models sound reassuring and still get bedside care wrong: a dosing detail that no nurse would administer, a triage order that buries the sickest patient, discharge teaching that misses the one thing that keeps someone safe at home. The gap between textbook care and real care is exactly what you close.</p><p>As a Registered Nurse you'll evaluate AI reasoning on assessment, medication administration, and clinical protocols, and write the guidance an experienced nurse would give at the bedside.</p></section><section class="rd-section"><h2>What you’ll actually do</h2><ul><li><b>Write prompts</b> that probe nursing judgment: assessment, triage and prioritization, medication administration, and patient education.</li><li><b>Review AI output</b> for unsafe steps, wrong priorities, and protocol errors, and rate the quality of the clinical reasoning.</li><li><b>Write the correct answer</b> when the model falls short, grounded in real bedside practice and current standards.</li></ul></section><section class="rd-section"><h2>Roles this fits</h2><p>Common backgrounds: Registered Nurse, Nurse Practitioner.</p></section><section class="rd-section"><h2>What we look for</h2><ul><li>Active or recent nursing experience as an RN or nurse practitioner.</li><li>Comfort reasoning through assessment, medication safety, and care protocols.</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_registered-nurse&utm_role=registered-nurse&projects=MED">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/physician"><h2>Physician</h2><div class="card-foot"><span class="rate">$75 – $125+ <small>/ hr</small></span><span class="hired">63 hired recently</span></div></a><a class="card" href="/job-board/cardiologist"><h2>Cardiologist</h2><div class="card-foot"><span class="rate">$75 – $125+ <small>/ hr</small></span><span class="hired">19 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>