Senior Healthcare Data Labeling Specialist
About this role
About the Role We're looking for experienced healthcare professionals to help shape the future of clinical AI. As a Senior Healthcare Data Labeling Specialist, you'll apply your domain knowledge to annotate and quality-review complex clinical datasets — directly influencing how AI systems understand and interpret real-world medical information. This is a fully remote, flexible contract role designed for clinicians, health informaticists, and healthcare data professionals who want to make a meaningful contribution to healthcare AI from wherever they work best. - Type: Hourly Contract - Location: Remote - Commitment: Flexible hours What You'll Do - Annotate complex clinical and electronic health record (EHR) data with precision and consistency - Apply domain expertise to interpret and label nuanced medical terminology, diagnoses, procedures, and clinical narratives - Perform quality assurance reviews on annotated datasets to ensure accuracy and adherence to guidelines - Identify edge cases, ambiguities, and errors in clinical data and flag them with clear, structured feedback - Follow detailed annotation guidelines while exercising sound clinical judgment - Contribute to improving the overall quality and performance of healthcare AI models Who You Are - Background in healthcare, clinical informatics, nursing, medicine, health information management, or a related field - Familiar with EHR systems and clinical documentation practices - Strong attention to detail with a commitment to accuracy in every task - Comfortable working independently and managing your own workflow - Able to follow structured annotation guidelines consistently across large datasets - Experience with medical coding (ICD, CPT, SNOMED) is a plus - Prior data labeling or annotation experience is a plus, but not required Nice to Have - Experience with NLP, clinical NLP, or health informatics tools - Familiarity with HIPAA and healthcare data privacy standards - Background in clinical research, medical records, or health data quality Why Join Us - Work on meaningful AI projects that improve how technology understands clinical data - Fully remote and asynchronous — work on your own schedule - Freelance flexibility: autonomy, variety, and the ability to scale your hours - Collaborate with a global team advancing cutting-edge healthcare AI - Potential for ongoing work and contract extension based on performance
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