Healthcare Research Data Annotator
About this role
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
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