Patient Access AI Evaluation Lead

OpenTrain AI; Northern (KY); Hybrid; USD 103,000 - 124,000; Part time

Job summary

OpenTrain AI is seeking a Patient Access AI Evaluation Lead for a part-time contractor role in the United States. The position requires 20+ hours per week and focuses on evaluating AI tools related to patient access workflows, registration accuracy, and insurance verification.

You will lead reviews of AI outputs, document observations, and mentor teams on best practices, HIPAA compliance, and front-end revenue cycle processes. Strong communication and leadership are essential.

Qualifications

• Experience in patient access, patient registration, scheduling, intake, or front-end revenue cycle management.
• Manager- or director-level leadership experience in patient access operations.
• Strong written and verbal English communication skills.
• Hands-on familiarity with Epic, Cerner, Meditech, or similar EHR and registration systems.
• Experience developing SOPs or training materials for patient access teams.
• Ability to evaluate AI-generated healthcare workflow outputs with high attention to detail.

Responsibilities

• Evaluate AI-generated outputs related to patient access processes.
• Support patient access workflows across inpatient and outpatient settings, including registration, pre-registration, scheduling, and intake.
• Review and reinforce policies for registration accuracy, demographic capture, and point-of-service collections.
• Help monitor indicators such as registration accuracy, insurance verification, and front-end denial rates.
• Support training and mentoring on registration best practices, compliance requirements, and system usage.
• Document observations and annotate model outputs for AI training datasets.
• Contribute to cleaner front-end operations that can reduce downstream claim issues.

Skills

Leadership experience

English communication

Experience in patient access

Attention to detail

SOPs / training materials

EHR systems familiarity

Tools

Epic

Cerner

Meditech

Job description

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI is recruiting and contracting for this role, helping experienced professionals apply their expertise to projects that improve how AI systems work.

• Build experience in a fast-growing AI training and data-labeling industry.
• Apply your healthcare operations expertise to practical AI evaluation work.
• Create a profile and apply through OpenTrain at no cost.

About AI Training Work

AI systems learn from examples prepared, reviewed, and rated by people. In this role, your patient access knowledge will help evaluate AI-generated workflow outputs, document observations, and create structured feedback that supports more accurate healthcare operations.

Human reviewers play an important role in improving AI tools. Their feedback helps models handle specialized processes, terminology, policies, and operational requirements more reliably.

• Review and rate AI-generated text and workflow outputs.
• Document observations and annotate examples for AI training datasets.
• Help shape tools used in healthcare revenue cycle workflows.

The Role

OpenTrain is seeking a Patient Access AI Evaluation Lead with manager- or director-level experience in patient access operations. You will review and improve AI tools related to registration, pre-registration, scheduling, intake coordination, insurance verification, and point-of-service collections.

This intermediate-level, part-time contractor opportunity is based in the United States and requires 20+ hours per week. The rate is $80 per hour, and the working language is English.

• Role: Patient Access AI Evaluation Lead
• Engagement: Part-time contractor
• Location: United States
• Time commitment: 20+ hours per week
• Pay: $80 per hour
• Experience level: Intermediate
• Data type: Text
• Work types: AI evaluation and text generation

What You'll Do

You will combine patient access leadership experience with careful review of AI-generated content and operational workflows. Your feedback should be structured, actionable, and grounded in registration accuracy, compliance, and front-end revenue cycle best practices.

• Evaluate AI-generated outputs related to patient access processes.
• Support patient access workflows across inpatient and outpatient settings, including registration, pre-registration, scheduling, and intake.
• Review and reinforce policies for registration accuracy, demographic capture, and point-of-service collections.
• Help monitor indicators such as registration accuracy, insurance verification, and front-end denial rates.
• Support training and mentoring on registration best practices, compliance requirements, and system usage.
• Document observations and annotate model outputs for AI training datasets.
• Contribute to cleaner front-end operations that can reduce downstream claim issues.

Requirements

This role requires hands-on experience in patient access, patient registration, or front-end revenue cycle management, along with leadership experience at the manager or director level. You should be able to assess healthcare workflow outputs with close attention to operational detail and regulatory requirements.

• Experience in patient access, patient registration, scheduling, intake, or front-end revenue cycle management.
• Manager- or director-level leadership experience in patient access operations.
• Strong understanding of HIPAA, CMS guidelines, and payer requirements.
• Hands‑on familiarity with Epic, Cerner, Meditech, or similar EHR and registration systems.
• Strong written and verbal English communication skills.
• Experience developing SOPs or training materials for patient access teams.
• Ability to evaluate AI-generated healthcare workflow outputs with high attention to detail.

Helpful Background

The following experience can strengthen your application and help you contribute quickly to specialized healthcare AI evaluation work.

• NAHAM CHAM or CHAA credential.
• Experience with denial prevention at the point of registration.
• Background in a hospital, health system, or large physician group setting.
• Familiarity with AI tools such as ChatGPT or Claude.

Why This Work Matters

Healthcare AI depends on informed human review. By applying your knowledge of patient access, EHR workflows, payer requirements, and compliance, you can help improve tools that support critical front-end revenue cycle processes.

AI training and data labeling offer a way for experienced professionals to contribute to cutting‑edge technology through flexible project work. Your operational judgment can help make specialized AI systems more accurate and useful.

• Use real healthcare operations expertise in an emerging technology field.
• Help improve AI outputs for complex patient access workflows.
• Contribute to training data and feedback grounded in professional practice.