Healthcare Revenue Integrity AI Evaluator

About OpenTrain AI

OpenTrain AI is the centralized platform where people build careers in AI training and data labeling. We hire and contract contributors directly, helping you grow experience in a fast-expanding field while keeping your portfolio and opportunities in one place.

As the hiring organization for this role, OpenTrain AI connects experienced healthcare professionals to projects that shape how clinical billing and compliance systems learn and improve.

Why AI Training Work Matters in Healthcare

AI training (data labeling, annotation, and human feedback) is the human foundation behind reliable AI systems. In healthcare billing and revenue integrity, human reviewers teach models to find missed charges, duplicate charges, coding errors, and compliance risks so automated tools become accurate and defensible.

This work is remote-friendly and flexible, and it places you at the cutting edge of how AI supports revenue cycle operations and regulatory compliance.

The Role

You will evaluate AI-generated charge review outputs, coding recommendations, and revenue integrity alerts across charge capture workflows. Your assessments and structured annotations will be used to train and improve AI systems that detect revenue leakage and ensure billing compliance.

This is a part-time contractor role requiring 20+ hours per week, English fluency, and US residency. Compensation is USD $88 per hour.

• Employment type: Contractor, Part-time
• Time requirement: 20+ hours/week
• Location: US only (remote)
• Rate: $88/hour (PAY_PER_HOUR)
• Data type: Text; labeling types include evaluation ratings and RLHF-style feedback

What You'll Do Day-to-Day

• Evaluate AI outputs for charge review accuracy, coding suggestions, and revenue integrity alerts
• Audit charge capture results to identify missed charges, duplicate charges, and capture errors
• Maintain and review charge description master entries including charge codes, revenue codes, and pricing
• Analyze charge patterns and support corrective action planning with structured findings
• Collaborate virtually with clinical, coding, and billing stakeholders to resolve discrepancies
• Review outputs for compliance against CMS billing guidance, Medicare Part A/B rules, OIG priorities, and payer rules
• Annotate AI outputs with clear, structured feedback used to build training datasets and improve model behavior

Required Qualifications

• 5+ years experience in charge capture, charge integrity, revenue integrity, or healthcare compliance
• Strong knowledge of CDM (charge description master) management, revenue codes, and charge audit workflows
• Familiarity with CMS billing guidelines, Medicare Part A and Part B rules, and OIG compliance requirements
• Hands-on experience with charge capture systems, EHR platforms, or revenue integrity tools
• Excellent written and verbal English communication skills
• US residency and ability to work 20+ hours/week as a contractor

Preferred Qualifications

• Professional credential: CPC, CCS, CHFP, or CRCS preferred
• Experience with 340B charge capture or hospital revenue integrity operations is a plus
• Prior work that involved annotating or evaluating AI outputs, model feedback, or QA of automated billing suggestions is helpful

How This Project Works & Next Steps

You will be contracted by OpenTrain AI to perform remote, text-based evaluation and annotation tasks. Reviews are delivered via our evaluation workflows and training interfaces; you will provide structured ratings and written feedback that data scientists use to retrain models.

To apply, create or use your OpenTrain account, confirm your eligibility (US-based, English fluent), and submit your profile highlighting charge capture and revenue integrity experience. Selected candidates will complete a skills check or sample task before onboarding.

• Application: Submit via your OpenTrain account
• Onboarding: skills check/sample task may be required
• Work flow: remote, text-based evaluations and structured annotations