Risk Adjustment and HCC Coding Reviewer

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI hires and contracts contributors for specialized projects where expert human judgment helps improve artificial intelligence.

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About AI Training Work

AI training is the human side of building modern AI systems. Specialists review model outputs, identify errors, and provide structured feedback that helps AI tools become more accurate, reliable, and useful.

In this role, your healthcare risk adjustment expertise will help evaluate AI-generated HCC coding and produce high-quality training data for healthcare applications.

The Role

OpenTrain AI is seeking an experienced Risk Adjustment and HCC Coding Reviewer to evaluate AI tools for risk score accuracy, coding completeness, and documentation capture in healthcare settings.

The work focuses on Medicare Advantage, Medicaid managed care, and ACA risk adjustment workflows. You will review AI-generated HCC coding assignments, compare medical records with clinical documentation, support chart review and RADV audit activities, and provide structured feedback for AI training datasets.

• Contractor, part-time engagement
• 20+ hours per week
• Remote work for candidates in the United States
• English-language work
• Pay: $110 USD per hour
• Expert-level experience required

What You'll Do

You will combine detailed medical record review, HCC coding expertise, CMS guidance, and clear written feedback to assess both AI performance and supporting documentation.

• Review AI-generated HCC coding recommendations for clinical accuracy and regulatory compliance.
• Examine medical records to confirm that HCC-eligible conditions are supported by documentation.
• Lead retrospective and prospective chart review work for risk score optimization.
• Support RADV audit preparation and response processes.
• Monitor HCC capture rates, risk score accuracy, and chart retrieval performance.
• Collaborate with clinical, coding, and compliance stakeholders on documentation improvement.
• Apply CMS risk adjustment guidance, including RAPS and EDGE submission requirements.
• Annotate AI outputs with structured feedback for AI training datasets.

Required Qualifications

This role requires substantial experience in risk adjustment coding and healthcare documentation review, along with the judgment to assess AI-generated recommendations against clinical and regulatory standards.

• At least 5 years of experience in risk adjustment coding, HCC coding, or Medicare Advantage coding operations.
• At least 2 years of leadership experience.
• Deep knowledge of CMS-HCC, RxHCC, and/or ACA HHS-HCC methodologies.
• Strong understanding of ICD-10-CM coding guidelines as applied to HCC risk adjustment.
• Experience with RADV audit preparation and CMS compliance requirements.
• Familiarity with RAPS and EDGE submission processes.
• Experience evaluating HCC coding accuracy against medical documentation.
• Strong written and verbal English communication skills.
• Close attention to coding inaccuracies and documentation gaps.

Helpful Background

The following experience or credentials can strengthen your application, although the core requirements above define the role.

• CRC, CCS, CPC, or RHIA credential.
• Experience with risk adjustment analytics platforms or chart retrieval systems.
• Background in a health plan, Medicare Advantage organization, or value-based care setting.
• Familiarity with AI-assisted HCC coding tools.
• Experience presenting risk adjustment performance to actuarial or executive teams.

How to Apply

Create a free OpenTrain account, build your professional profile, and apply in minutes. Highlight your risk adjustment leadership, HCC coding experience, CMS methodology knowledge, and RADV audit background so your expertise is easy to evaluate.

This is an opportunity to bring specialized healthcare knowledge to the fast-growing AI training industry while working remotely on projects that shape how AI systems perform.