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Clinical Documentation Expert - AI Trainer

Job in Clarksville, Montgomery County, Tennessee, 37040, USA
Listing for: Obsidian
Part Time position
Listed on 2026-10-02
Job specializations:
  • IT/Tech
    AI Evaluation, Data Annotation/ AI Labeling
Salary/Wage Range or Industry Benchmark: 28000 - 50000 USD Yearly USD 28000.00 50000.00 YEAR
Job Description & How to Apply Below
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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