Revenue Cycle Specialist - Fully Remote | Upto $75/hr

Role Summary

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.

Monitor A/R KPIs including days in A/R, aging bucket distribution, collection rates, and write-off rates.

Develop and implement payer-specific follow-up strategies to accelerate claim resolution.

Ensure compliance with FDCPA , HIPAA , and payer-specific follow-up and timely filing requirements.

Annotate AI outputs and provide structured feedback to support AI training datasets .

Requirements

• 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
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Additional Information

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