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.
عن الوظيفة
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
المصدر الرسمي: alignerr.com. قد تتغير التفاصيل؛ والكلمة الأخيرة لصفحة المنصة.هل في هذه الوظيفة خطأ؟ أخبرنا.
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