Medical Billing AI Evaluation Manager

OpenTrain AI; Northern (KY); Hybrid; USD 114,616,000 - 172,200,000; Part time

Job summary

OpenTrain AI is seeking an expert Medical Billing AI Evaluation Manager for a part-time contractor role in the United States. You will review billing outputs, claim edits, and coding validations against payer requirements and billing compliance rules.

The role requires at least 20 hours per week, with compensation at $80 per hour. Primary duties include evaluating AI-generated content and supporting training datasets for AI-driven billing workflows.

Qualifications

• 5+ years in medical billing and claims management
• 2+ years in a management role
• Deep knowledge of CMS-1500, UB-04, HIPAA 837 standards and payer rules
• Strong understanding of Medicare, Medicaid, and commercial payer requirements
• Familiarity with Epic, Athenahealth or AdvancedMD and clearinghouse tools
• Strong written and verbal English communication skills
• High attention to detail and comfort evaluating AI-generated billing content

Responsibilities

• Evaluate AI-generated billing outputs and coding validations for accuracy and payer compliance.
• Assess medical billing and claims submission workflows across professional and facility billing environments.
• Track clean claim rates, rejection rates, and first-pass acceptance rates; identify improvements.
• Coordinate issue resolution across coding, CDI, and collections workflows.
• Annotate AI outputs and provide structured feedback for training datasets.
• Help refine billing SOPs and payer reference guides.
• Review and improve models with expert feedback to support training datasets.

Skills

English communication

Attention to detail

Analytics

Education

CPC/CCS/CHFP/CRCR credential

Tools

Epic

Athenahealth

AdvancedMD

Job description

About OpenTrain

OpenTrain AI is the hiring and contracting organization for careers in AI training and data labeling. The platform helps people discover specialized projects, build an AI training profile, and apply in minutes as they grow experience in this fast-developing industry.

• Free OpenTrain account creation
• A platform for building a career in AI training and data labeling
• Access to specialized work that helps improve modern AI systems

About AI Training and Medical Billing Evaluation

AI training is the human work behind reliable artificial intelligence. Specialists review model outputs, identify errors, and provide structured feedback that helps AI systems perform better in real-world workflows.

In this role, your medical billing and claims expertise will help evaluate AI-generated billing content and support training datasets for claims processing and revenue cycle applications.

• Contribute to cutting-edge AI development through expert evaluation
• Use professional knowledge to identify inaccurate or noncompliant outputs
• Support models designed for medical billing and claims workflows

The Role

OpenTrain AI is seeking an expert Medical Billing AI Evaluation Manager for a part-time contractor role supporting AI evaluation in medical billing and claims management. You will review billing outputs, claim edits, and coding validations against payer requirements and billing compliance rules.

The role requires at least 20 hours per week and is open to candidates in the United States. Compensation is $80 per hour.

• Job type: Part-time contractor
• Location: United States
• Language: English
• Experience level: Expert
• Time requirement: 20+ hours per week
• Pay: $80 per hour

What You'll Do

You will evaluate AI-generated content and medical billing workflows across professional fee and facility billing environments. Your reviews and structured annotations will help improve the quality of AI training data.

• Review AI-generated billing outputs, claim edits, and coding validations for accuracy and payer compliance.
• Evaluate medical billing and claims submission workflows across professional fee and facility billing environments.
• Assess electronic claim generation, clearinghouse edits, and payer-specific billing requirements.
• Track clean claim rates, rejection rates, and first-pass acceptance rates, then help identify improvements.
• Coordinate issue resolution across coding, CDI, and collections workflows.
• Annotate AI outputs and provide structured feedback for training datasets.
• Help refine billing standard operating procedures and payer reference guides.

Required Qualifications

This expert-level opportunity is intended for professionals with substantial medical billing and claims management experience. You should be comfortable identifying billing errors, compliance issues, and inaccuracies in AI-generated content.

• At least 5 years of medical billing and claims management experience
• At least 2 years of experience in a management role
• Deep knowledge of CMS-1500, UB-04, HIPAA 837 transaction standards, clearinghouse operations, and payer-specific billing rules
• Strong understanding of Medicare, Medicaid, and commercial payer requirements
• Familiarity with billing platforms such as Epic, Athenahealth, or AdvancedMD and clearinghouse tools
• Strong written and verbal English communication skills
• High attention to detail and comfort evaluating AI-generated billing content

Helpful Background

The following experience or credentials can further support your work in this role, although they are listed as helpful rather than required.

• CPC, CCS, CHFP, or CRCR certification
• Experience with automated billing platforms or revenue cycle management technology implementations
• Background in physician group, hospital, or health system billing operations
• Experience with payer contract interpretation or billing compliance program management

Why Work in AI Training

AI training offers a way to apply specialized professional expertise to the development of modern AI systems. Many projects provide flexible, part-time work that can fit around other commitments, while expert knowledge is especially valuable for complex domains such as medical billing.

By reviewing and improving model outputs, you help shape how AI tools behave in important operational settings while building experience in a rapidly growing technology field.

• Apply real-world medical billing expertise to emerging AI tools
• Provide feedback that directly improves model performance
• Build experience in a fast-growing area of technology
• Choose flexible project work that aligns with your schedule and expertise