EHR Annotation Specialist

Clinical record annotation

Label information in real electronic health records to improve AI interpretation of medical data. The work requires careful clinical judgment across complex and varied patient cases.

• Review chart elements including diagnoses, procedures, medications, and notes.
• Apply annotation standards consistently across nuanced EHR datasets.
• Identify clinical entities, their relationships, and meaningful patterns in records.
• Maintain accurate labels and provide organized feedback that improves model performance.
• Complete independent assignments asynchronously.

Required background

You need experience in healthcare, clinical informatics, nursing, medical coding, or a related field. Familiarity with EHR systems and documentation conventions, including ICD, SNOMED, and Current Procedural Terminology, is required.

Attention to detail, consistent use of instructions, and comfort with complex data are essential. Previous AI or annotation experience is not required because training is provided.

Helpful experience

Medical coding experience or credentials such as CPC or CCS are useful. Clinical informatics, health information management, medical transcription, NLP, and AI labeling workflows are also relevant.

Contract arrangement

The hourly role is fully remote with flexible task-based assignments. Further projects may support continuing work or a contract extension.