Healthcare Revenue Cycle AI Evaluator

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping professionals discover projects, build a profile, and apply in minutes.

By contributing your expertise to AI evaluation, you will help shape tools designed to support important healthcare revenue cycle decisions while building experience in a fast-growing technology field.

• Free OpenTrain account and professional profile
• Opportunities to build a lasting AI training portfolio
• Remote contract work with flexible scheduling

About AI Training Work

AI training is the human side of building artificial intelligence. Experts review AI-generated content, rate its quality, identify errors, and provide structured feedback so future systems can produce more accurate and useful results.

In this role, your healthcare revenue cycle expertise will help evaluate AI analyses and recommendations related to patient access, coding, billing, denials, collections, payer reimbursement, and financial performance.

• Evaluate and rate AI-generated analyses
• Identify inaccurate, impractical, or incomplete recommendations
• Provide feedback that supports healthcare AI training datasets

The Role

OpenTrain AI is recruiting a Healthcare Revenue Cycle AI Evaluator to assess AI tools and AI-generated strategy content used in healthcare revenue cycle management. You will determine whether analyses, recommendations, and operational improvement plans are accurate, feasible, and useful in real healthcare settings.

This opportunity is designed for an experienced revenue cycle executive who can synthesize complex operational and financial information, apply managed care expertise, and communicate strategic judgments clearly in written and verbal English.

• Work remotely from the United States
• Contract position with part-time status
• Expected commitment of 20 hours per week
• Compensation of $162 per hour

What You'll Do

You will review AI outputs and tools against the operational realities and financial goals of healthcare organizations. Your evaluations will help distinguish recommendations that are merely plausible from those that are accurate, actionable, and strategically sound.

• Evaluate AI-generated revenue cycle performance analyses, strategic recommendations, and operational improvement plans for accuracy and feasibility.
• Assess AI tools designed to automate revenue cycle workflows, identify revenue leakage, and improve payer reimbursement.
• Review enterprise revenue cycle KPIs, including net collection rate, days in accounts receivable, denial rate, cost to collect, and cash collections performance.
• Assess improvement strategies aligned with healthcare organizations' financial goals.
• Apply expertise in managed care contracting and payer relationship management.
• Review revenue cycle responsibilities across patient access, coding, billing, denials, and collections.
• Annotate AI outputs and provide structured strategic feedback to support AI training datasets.

Required Qualifications

This role requires substantial executive-level healthcare revenue cycle experience. You should be comfortable evaluating complex analyses, challenging unsupported conclusions, and explaining your reasoning in a structured way.

• At least 10 years of progressive revenue cycle leadership experience, including at least 5 years as a VP, senior director, or equivalent executive.
• Comprehensive knowledge of end-to-end revenue cycle operations and healthcare financial performance management.
• Strong financial acumen, including P&L management, budget oversight, and performance reporting.
• Experience leading large-scale revenue cycle transformation in a health system, hospital, or physician group setting.
• Deep familiarity with managed care contracting, payer relations, and reimbursement optimization.
• Excellent written and verbal English communication, including executive-level presentations.
• Ability to synthesize complex revenue cycle data and AI-generated outputs into strategic recommendations.

Helpful Background

The following experience can support success in the role but is helpful rather than required. Familiarity with AI tools and healthcare strategy content may also make it easier to assess generated outputs in context.

• HFMA Fellow, CHFP, or CRCR certification
• Experience with revenue cycle technology platforms
• Experience with large-scale EHR implementations
• Experience with multi-site consolidation or multi-entity integration

Why This Work Matters

Every major AI system depends on human expertise to review examples, evaluate outputs, and improve how models behave. By applying your knowledge of healthcare finance and revenue cycle operations, you can directly influence the quality of AI systems being developed for a complex, high-impact industry.

AI training and data-labeling work is remote and can often fit around other professional commitments. OpenTrain helps you build a profile that showcases your experience and supports a longer-term career in AI training.

• Apply senior healthcare expertise to cutting-edge AI development
• Work remotely with a defined weekly commitment
• Build credible experience in AI evaluation and human feedback
• Contribute to systems that support healthcare strategy and operations

How to Apply

Create a free OpenTrain account, build your professional profile, and apply for this contract opportunity in minutes. Highlight your revenue cycle leadership, transformation experience, financial expertise, and managed care background so your qualifications are easy to evaluate.

• Location: United States
• Language: English
• Work type: Remote contract
• Commitment: 20 hours per week
• Rate: $162 per hour