Role overview
About the Role
Mercor is hiring certified medical coders on behalf of a healthcare AI partner building advanced clinical documentation tools. In this role you will apply your coding and documentation expertise to review, annotate, and evaluate clinical documentation and AI-generated clinical notes, directly shaping the accuracy and reliability of medical AI systems.
This role is part of a multilingual annotation cohort. In addition to English, you should be able to speak, read, and write at least one other language at an advanced (C1 or above) level.
Key Responsibilities
Documentation & Coding Review
- Review clinical documentation for accuracy, completeness, and coding integrity
- Evaluate AI-generated clinical notes and summaries against real-world documentation and coding standards
- Validate alignment between clinical documentation and assigned codes
Annotation & Structured Feedback
- Annotate clinical documentation against detailed guidelines
- Flag omissions, inaccuracies, and documentation gaps in AI-generated output
- Provide structured, written feedback that engineering and product teams can act on
Knowledge Contribution
- Contribute expert input on annotation guidelines and documentation standards
- Raise clarifying questions where guidance is ambiguous and help refine the guidelines
Required Qualifications
- Active certification — at least one of CCDS, CHC, CCS, or CPC
- ICD-10 coding experience
- Currently working in medical coding, clinical documentation improvement, or a closely related documentation role
- US-based
- In addition to English, advanced (C1+) proficiency — speaking, listening, and writing — in at least one other language
- Availability of at least 10 hours per week
Preferred Qualifications
- Additional certifications (CRC, CDIP, or similar)
- Familiarity with Epic
- Experience with HCC or risk-adjustment coding
- Prior AI/ML annotation or model evaluation work experience, with strong performance reviews
Work Arrangement
- Remote, part-time — minimum 10 hours/week
- Flexible scheduling
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