Certified medical coders review clinical documentation and AI-generated clinical notes for accuracy, then annotate omissions and coding errors against detailed guidelines. It suits working coders with ICD-10 experience who also speak a second language at an advanced level.
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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.
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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