Clinical AI Data Specialist
Core
Ensure clinical accuracy of AI training data, model output labels, and clinical logic for risk adjustment products by annotating medical records and validating coding standards.
Role type
Clinical AI Data Specialist (IC)
Builds
AI-powered risk adjustment products for healthcare organizations
Domain
Healthcare / Clinical Coding / AI Data Labeling
Deliverable
production ML models
Required skills
ICD-10-CM coding, clinical documentation interpretation, active coding certification (CCS/CPC/CRC/CDIP/CCDS), label quality validation, prompt engineering for coding rules, error pattern analysis
Preferred skills
HCC reimbursement models, NLP/ML model output familiarity, clinical annotation experience, coding audit/compliance experience
Technologies
ICD-10-CM/PCS, CPT, RxNorm, LLM prompt tools
Responsibilities
Annotate medical records for AI training data, validate annotated data quality, refine clinical logic behind AI outputs, translate coding guidelines into testable LLM prompts and rules, document clinical rationale for labeling decisions
Seniority
Mid-level, hands-on IC