Use your clinical documentation integrity expertise to review and improve AI-generated CDI suggestions, physician queries, and coding recommendations. This US-based contract role offers $84/hour and requires 20+ hours weekly.
Medical & Health
Remote Hourly · $84/hr
$84/hr
Compensation
1 country
Eligibility
Expert
Experience
Jul 10, 2026
Posted
Open to applicants in
United States
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About AI Training in Healthcare
AI training is the human side of building artificial intelligence. Experts review model outputs, annotate information, and provide structured feedback so AI systems can become more accurate, reliable, and useful.
In healthcare, qualified professionals can help evaluate documentation, coding, and clinical reasoning outputs. Your expertise can directly influence tools designed to support clinical documentation accuracy, coding integrity, and revenue cycle quality.
The Role
OpenTrain AI is seeking an expert Clinical Documentation Integrity AI Reviewer to evaluate AI tools that support clinical documentation improvement. You will review AI-generated clinical documentation improvement suggestions, physician queries, and coding recommendations, then provide structured clinical feedback for healthcare AI training datasets.
The work also supports CDI program workflows, documentation quality monitoring, and accurate capture of diagnoses, procedures, severity of illness, and risk of mortality. This is a part-time contractor opportunity for candidates located in the United States.
Pay: $84 USD per hour
Time requirement: 20+ hours per week
Engagement: Part-time contractor
Location: United States
Working language: English
What You'll Do
You will apply your CDI and clinical documentation expertise to assess AI-generated content and identify opportunities to improve accuracy, compliance, and clinical usefulness.
Review AI-generated CDI suggestions, physician queries, and coding recommendations for accuracy and compliance
Support inpatient and outpatient CDI workflows, including concurrent and retrospective review
Provide structured clinical feedback and annotations for AI training datasets
Monitor query response rates, CC/MCC capture, case mix index, and DRG accuracy
Help improve physician query processes and documentation education
Evaluate clinical records for accurate capture of diagnoses, procedures, severity of illness, and risk of mortality
Required Qualifications
This role requires substantial experience leading or supporting clinical documentation integrity programs. Candidates should be able to interpret medical records precisely and evaluate documentation against applicable clinical, coding, and compliance expectations.
Familiarity with AHIMA, ACDIS, CMS, and official coding guidance is important for reviewing physician queries and coding-related recommendations.
Experience leading clinical documentation integrity or improvement programs
Deep knowledge of CDI workflows, including concurrent and retrospective review
Deep knowledge of MS-DRG methodology and CC/MCC hierarchies
Strong knowledge of ICD-10-CM/PCS coding
Experience managing physician queries using compliant query standards
Ability to evaluate clinical documentation for accuracy, compliance, and risk capture
CCDS, CDIP, RN, RHIA, CCS, or comparable clinical or coding background
Strong written and verbal English skills
Ability to work independently in a remote environment
Familiarity with CDI software platforms and EHR systems
Helpful Experience
The following background can help you contribute across a broader range of CDI evaluation and healthcare AI training tasks.
HCC risk adjustment experience
Outpatient CDI experience
Familiarity with AI-assisted CDI tools
Experience with CDI software platforms such as 3M, Nuance, or Optum360
Experience presenting CDI performance metrics to leadership
Why This Work Matters
Every major AI system depends on examples prepared and reviewed by people. In this role, your specialized healthcare knowledge helps train systems to handle clinical documentation and coding-related tasks with greater care and precision.
AI training work is part of a fast-growing technology field and can offer flexible remote opportunities for experts who want to shape how advanced AI systems are built.
How to Apply
Apply through OpenTrain by creating a free account and building a profile that highlights your CDI leadership, coding knowledge, credentials, and healthcare documentation experience. Review the project details and submit your application for consideration.
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