Flexible remote contract annotating and quality-reviewing complex clinical and EHR data for healthcare AI. Suits experienced clinicians, informaticians and health data professionals who work well alone.
Sobre a vaga
Senior Healthcare Data Labeling Specialist (AI Training)
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
- Commitment : Flexible hours
- 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
- Contribute to improving the overall quality and performance of healthcare AI models
- 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
- Prior data labeling or annotation experience is a plus, but not required
- 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
- Background in clinical research, medical records, or health data quality
- 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
Fonte oficial: alignerr.com. Os detalhes podem mudar; vale o que diz a página da plataforma.Algo errado com esta vaga? Avise a gente.
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