Healthcare Research Data Annotator (Medical AI) About The Role We're looking for detail-oriented professionals to label and verify clinical and research datasets that power the next generation of medical AI. Your careful judgment and domain awareness will directly influence the quality and safety of AI systems used in healthcare research — meaningful work that matters beyond the screen. Type: Hourly Contract Location: Remote Commitment: Flexible hours

What You'll Do

Review and annotate clinical and research datasets with accuracy and consistency Apply high-quality labels to complex medical data following structured guidelines Verify existing annotations for correctness and completeness Identify ambiguities or edge cases and escalate appropriately Maintain a high standard of data quality across all assigned tasks Work independently and asynchronously at your own pace Who You Are Strong attention to detail and comfort working with complex, structured information Background or familiarity in healthcare, clinical research, biology, or a related STEM field Ability to follow detailed annotation guidelines precisely and consistently Self-motivated and reliable when working independently Clear written communication skills Prior annotation or data labeling experience is a plus but not required

Nice to Have

Experience in clinical documentation, medical coding, or biomedical research Familiarity with electronic health records (EHR) or medical terminology Prior work in data quality, research coordination, or healthcare informatics

Why Join Us

Contribute directly to cutting-edge medical AI research Fully remote and flexible — work on your schedule Freelance autonomy with meaningful, intellectually engaging tasks Collaborate with researchers and data teams on high-impact projects Potential for ongoing work and contract extension