Certified Medical Coder, Clinical AI Evaluation

OpenTrain AI

Northern (KY)

Hybrid

USD 62,000 - 90,000

Part time

7 days ago
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Job summary

OpenTrain AI is recruiting a certified medical coder for clinical documentation and coding review. You will assess clinical documentation, medical coding, and AI-generated clinical notes for accuracy, completeness, coding integrity, and alignment between documentation and assigned codes. This is a remote, part-time contractor opportunity for a US-based specialist.

The minimum commitment is 10 hours per week, with flexible scheduling. The role requires active certification and current practice.

Qualifications

  • Active certification in CCDS, CHC, CCS or CPC.
  • Practical ICD-10 coding experience.
  • Currently working in medical coding or clinical documentation improvement.
  • Based in the United States with English communication skills.
  • Advanced language ability (C1) in at least one more language.
  • Ability to review clinical notes carefully and follow detailed guidelines.

Responsibilities

  • Review clinical documentation for accuracy and coding integrity.
  • Evaluate AI-generated clinical notes against standards.
  • Validate linkage between notes and ICD-10 codes.
  • Annotate documentation using detailed guidelines.
  • Flag omissions and inaccuracies in records.
  • Write structured feedback to improve medical AI systems.
  • Contribute input on annotation guidelines and documentation standards.
  • Raise questions when guidance is ambiguous.

Skills

ICD-10 coding
Medical coding experience
Attention to detail
English communication
Advanced language skills (C1)
Follow project guidelines
US-based residence
Review clinical notes

Education

CCDS/CHC/CCS/CPC certification

Job description

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI hires and contracts specialists for projects that help improve modern artificial intelligence, giving contributors a place to build a lasting professional profile and apply for relevant work.

Creating an OpenTrain account is free. Your profile can help you showcase specialized experience, discover projects that match your skills, and grow your career in a fast-developing field.

  • Remote opportunities for specialists and independent contractors
  • A profile designed to document your AI training and data-labeling experience
  • Flexible projects that can fit around other professional commitments
About AI Training and Clinical Documentation Evaluation

AI training is the human side of building artificial intelligence. Expert contributors review examples, assess model outputs, and provide structured feedback so AI systems can become more accurate, useful, and reliable.

In healthcare-focused projects, medical coding and clinical documentation specialists help evaluate whether AI-generated notes reflect the source documentation and follow appropriate coding standards. Your professional judgment can directly support improvements to healthcare AI systems.

  • Apply clinical documentation and coding expertise to emerging AI technology
  • Review and evaluate model-generated content against professional standards
  • Work remotely with flexible scheduling in a growing technology field
The Role

OpenTrain AI is recruiting a certified medical coder for clinical documentation and coding review. You will assess clinical documentation, medical coding, and AI-generated clinical notes for accuracy, completeness, coding integrity, and alignment between documentation and assigned codes.

This is a remote, part-time contractor opportunity for a US-based specialist. The minimum commitment is 10 hours per week, with flexible scheduling available. The listed experience level is entry level, though the role requires active professional certification and current related practice.

  • Contractor and part-time engagement
  • US-based and fully remote
  • Minimum commitment of 10 hours per week
  • Flexible schedule
  • Pay of $45 to $65 per hour
What You'll Do

You will combine clinical documentation review, annotation, and structured feedback to help improve healthcare AI systems. Careful attention to documentation details and consistent application of project guidelines will be central to the work.

  • Review clinical documentation for accuracy, completeness, and coding integrity.
  • Evaluate AI-generated clinical notes and summaries against documentation and coding standards.
  • Validate the connection between clinical documentation and assigned ICD-10 codes.
  • Annotate documentation using detailed guidelines.
  • Flag omissions, inaccuracies, and documentation gaps.
  • Write structured feedback that identifies issues and supports improvements to medical AI systems.
  • Contribute expert input on annotation guidelines and documentation standards.
  • Raise questions when project guidance is ambiguous.
Required Qualifications

This role requires active medical coding or clinical documentation expertise, strong attention to detail, and the ability to evaluate both source documentation and AI-generated clinical notes. You must be based in the United States and communicate in English, along with advanced C1-level speaking, listening, and writing ability in at least one additional language.

  • Active certification as a CCDS, CHC, CCS, or CPC
  • Practical ICD-10 coding experience
  • Current work in medical coding, clinical documentation improvement, or a closely related documentation role
  • US-based residence
  • English communication skills
  • Advanced C1-level speaking, listening, and writing ability in at least one additional language
  • Ability to review clinical notes carefully and follow detailed project guidelines
  • Ability to identify omissions and inaccuracies in AI-generated clinical notes
Helpful Background

The following experience is useful for this work but is not listed as a core requirement. It may help you contribute additional context during documentation review and guideline discussions.

  • CRC or CDIP certification
  • Familiarity with Epic
  • Experience with HCC coding
  • Experience with risk-adjustment coding
  • Prior AI or machine-learning annotation experience
  • Prior model evaluation experience
How to Build Your AI Training Career

AI training and data-labeling work is one of the fastest-growing ways to work in technology. By applying your medical coding expertise to model evaluation, you can contribute to the human review process behind advanced AI while developing experience in a specialized area.

  • Create a free OpenTrain account
  • Showcase your certification and clinical documentation experience
  • Build a portfolio of specialized AI evaluation work
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