<strong>Nursing Informatics Specialist (AI Training)<br><br></strong><strong>About The Role<br><br></strong>At Alignerr, we partner with the world's leading AI research teams to build and train cutting-edge AI models. We're looking for experienced Nursing Informatics Specialists to bring real-world clinical knowledge to AI — helping ensure that healthcare AI systems reflect the complexity, nuance, and safety requirements of frontline nursing practice.<br><br>Your expertise in EHR systems, clinical workflows, and health data will directly influence how AI understands and supports healthcare environments. This is a rare opportunity to shape technology that could improve patient outcomes at scale.<br><br><ul><li>Organization: Alignerr</li><li>Type: Hourly Contract</li><li>Location: Remote</li><li>Commitment: 10–40 hours/week<br><br></li></ul><strong>What You'll Do<br><br></strong><ul><li>Evaluate AI-generated clinical content, documentation, and health IT recommendations for accuracy, safety, and real-world applicability</li><li>Apply your knowledge of nursing workflows and EHR systems (e.g., Epic, Cerner) to identify gaps, errors, or unrealistic outputs in AI responses</li><li>Provide structured, expert feedback that helps AI models better understand clinical informatics concepts and healthcare documentation standards</li><li>Review and annotate clinical scenarios, data queries, and system design recommendations with domain-specific insight</li><li>Work independently and asynchronously on your own schedule<br><br></li></ul><strong>Who You Are<br><br></strong><ul><li>Registered Nurse (RN) or equivalent clinical professional with hands-on experience in clinical informatics or health IT</li><li>Proficient with EHR platforms and clinical documentation workflows</li><li>Strong analytical mindset — able to spot inaccuracies and translate clinical knowledge into clear, structured feedback</li><li>Detail-oriented, reliable, and comfortable working independently</li><li>No prior AI experience required — your clinical expertise is what matters<br><br></li></ul><strong>Nice to Have<br><br></strong><ul><li>Experience with data annotation, data quality review, or evaluation systems</li><li>Background in health informatics, clinical decision support, or quality improvement</li><li>Familiarity with clinical data standards (e.g., HL7, FHIR, SNOMED)<br><br></li></ul><strong>Why Join Us<br><br></strong><ul><li>Work on cutting-edge AI projects with top healthcare and research teams</li><li>Fully remote and flexible — work on your own schedule</li><li>Freelance perks: autonomy, variety, and global collaboration</li><li>Apply your clinical expertise in a high-impact, non-bedside capacity</li><li>Potential for ongoing work and contract extension</li></ul>