Revenue Cycle Specialist - AI Trainer

Job Description

Job Description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position: A/R Follow-up Manager
Type: Contract
Compensation: $75/hour
Location: Remote

Role Responsibilities

• Lead A/R follow-up operations across commercial, Medicare, Medicaid, and managed care payers. Ensure timely resolution of outstanding claims.
• Evaluate AI-generated A/R follow-up recommendations , claim status inquiry outputs, and payer correspondence drafts for accuracy and effectiveness.
• Manage claim status follow-up workflows including electronic claim status inquiries (276/277 EDI) , payer portal follow-up, and phone-based resolution.
• Prioritize A/R queues by aging bucket, payer, and dollar value to maximize revenue recovery.
• Identify and resolve claim payment discrepancies, payer processing errors, and underpayments.
• Annotate AI outputs and provide structured feedback to support AI training datasets .

Qualifications

Must-Have

• 5+ years of experience in A/R follow-up , payer collections, or revenue cycle operations, with at least 2 years in a management role.
• Deep knowledge of claim status follow-up workflows, EDI 276/277 transactions , and payer-specific collections processes.
• Strong understanding of Medicare, Medicaid, and commercial payer claims processing and payment timelines.
• Experience prioritizing and managing high-volume A/R queues across multiple payers.
• Proficiency with billing systems and A/R management platforms .
• Exceptional written and verbal English communication skills.
• High attention to detail with the ability to identify payment errors and discrepancies in AI-generated A/R content .

Preferred

• CRCR , CPC , or CHFP certification.
• Experience with RCM technology platforms featuring automated A/R follow-up capabilities.
• Background in multi-payer follow-up operations in hospital or physician group settings.
• Familiarity with AI tools and comfort evaluating AI-generated A/R follow-up content .
• Experience developing A/R reduction action plans and presenting performance to leadership.

Application Process (Takes 20–30 mins to complete)

• Upload resume
• AI interview based on your resume
• Submit form

Resources & Support

• For details about the interview process and platform information, please check:
• For any help or support, reach out to: View email address on us.fitly.work

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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