Healthcare Research Data Annotator

Healthcare Research Data Annotator (Medical AI) About the Role We're looking for detail-oriented professionals with a healthcare or clinical background to label and verify research datasets that power the next generation of medical AI. Your annotations will directly influence how AI systems understand clinical information — making healthcare smarter, safer, and more effective. Type : Hourly Contract Location : Remote Commitment : Flexible hours What You'll Do Apply accurate, consistent labels to clinical and medical research datasets Review and verify existing annotations for quality and correctness Interpret complex healthcare data and apply structured annotation guidelines Flag ambiguous cases and document your reasoning clearly Maintain high annotation quality across large, specialized datasets Collaborate asynchronously with a quality-focused team Who You Are Background in healthcare, clinical research, life sciences, or a related field Strong attention to detail and commitment to accuracy Comfortable working with complex, domain-specific datasets Able to follow detailed annotation guidelines consistently Self-motivated and reliable when working independently Experience in medical coding, clinical documentation, or health informatics is a plus Nice to Have Familiarity with EHR data, clinical terminology, or ICD/CPT coding Prior experience in data annotation or labeling workflows Background in medical research or clinical trials Why Join Us Contribute to cutting-edge medical AI projects with real-world healthcare impact Fully remote and flexible — work on your own schedule Freelance autonomy with meaningful, intellectually engaging work Opportunity to apply your healthcare expertise in an innovative tech-driven field Potential for ongoing work and contract extension