Revenue Cycle Analytics AI Evaluation Expert

About OpenTrain

OpenTrain is the #1 platform for people who build careers in AI training and data labeling. We make it easy to find specialized, remote projects, consolidate your work history, and grow a durable freelance career focused on the human side of AI.

Work with OpenTrain to earn while shaping how next-generation AI systems interpret and present domain-specific analysis—particularly in high-impact areas like healthcare revenue cycle management.

About AI training and this work

AI training (also called data labeling, annotation, or human feedback) is the human effort behind how modern AI learns to produce useful outputs. Contributors review, rate, and correct model outputs so AI systems become accurate, reliable, and safe.

This role focuses on evaluating AI-generated analytics content—KPI dashboards, financial models, and narrative recommendations—so models that assist revenue cycle teams produce trustworthy, actionable insights.

The role

OpenTrain is hiring a Revenue Cycle Analytics AI Evaluation Expert to review and rate AI-generated revenue cycle analytics outputs and provide structured analytical feedback used to improve model performance. This is a contractor, part-time role requiring deep revenue cycle expertise and strong analytic judgment.

• Hourly pay: $100 USD per hour.
• Commitment: 20+ hours per week.
• Location: United States only; remote work.
• Employment type: Contractor, part-time.

What you'll do

You will evaluate AI-generated analytics content and annotate outputs using structured evaluation ratings. Your feedback helps train AI to produce accurate KPI reporting, dashboards, and financial recommendations for revenue cycle operations.

• Review AI-generated KPI dashboards, scorecards, trend analyses, and financial model outputs for accuracy and completeness.
• Rate outputs with structured evaluation labels and provide concise, actionable comments when models miss nuance or contain errors.
• Develop and maintain revenue cycle reporting frameworks covering patient access, coding, billing, denials, A/R, and collections.
• Perform root-cause analysis of performance variances and assess whether AI recommendations are analytically sound.
• Support revenue cycle forecasting, budget modeling, and net revenue realization analysis as part of evaluation tasks.
• Identify data quality issues, inconsistent definitions, and analytical errors in AI outputs to improve dataset labels and model behavior.

Requirements

Candidates must meet the stated experience and skills below. OpenTrain will rely on these qualifications to ensure you can accurately assess complex healthcare revenue cycle outputs.

• 5+ years of experience in revenue cycle analytics, RCM reporting, or healthcare financial decision-support.
• 2+ years in a leadership role within revenue cycle analytics or RCM reporting.
• Deep knowledge of revenue cycle KPIs across patient access, coding, billing, denials, A/R, and collections.
• Proficiency with BI tools (Tableau, Power BI, or equivalent) and SQL-based data analysis.
• Experience with EHR-integrated analytics platforms and RCM reporting systems.
• Strong financial modeling and data interpretation skills; ability to translate complex data into operational recommendations.
• Exceptional written and verbal English communication skills.
• High attention to detail and the ability to identify errors in AI-generated analytics outputs.

Helpful background (not required)

These additional experiences will make you especially effective evaluating AI analytics outputs and may increase the impact of your feedback.

• HFMA CRCR, CHFP, or other healthcare analytics certifications.
• Experience with predictive analytics, revenue cycle forecasting, and net revenue modeling.
• Background in health systems, large physician enterprises, or RCM outsourcing analytics operations.
• Experience implementing enterprise revenue cycle analytics infrastructure or BI platform migrations.
• Familiarity with AI tools and prior experience evaluating AI-generated analytics content.

How it works

You will use the OpenTrain platform to receive tasks, review AI outputs, and submit structured evaluation ratings and comments. Tasks focus on text-based analytics outputs, dashboards, and model recommendations that require domain expertise to judge.

OpenTrain pays contractors at the stated hourly rate. Work is flexible and remote; you choose hours but should be available to meet the 20+ hours/week expectation while delivering consistent, high-quality evaluations.

• Label type: Evaluation rating of AI-generated analytics (text-based).
• Platform: OpenTrain-managed tasks and submission workflow.
• Payment: $100/hr, paid per contractor agreement through OpenTrain.

Who should apply

Apply if you are an experienced revenue cycle analytics leader who wants to shape AI that supports RCM decision-making. This role suits analysts, managers, or directors comfortable with BI tools, SQL, financial modeling, and clear written feedback.

This is a high-impact, expert-level contribution: your work will directly influence how AI evaluates and communicates revenue cycle performance and recommendations.

• You are detail-oriented, analytically rigorous, and experienced communicating complex findings to operations and executives.
• You can translate analytic errors into concise feedback useful for model training and improvement.
• You are eligible to work in the United States and can commit to the stated weekly hours.