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Mercor is working with a leading AI research lab to improve the capabilities of next-generation AI systems. We are seeking experienced A/R Follow-Up Managers to evaluate AI tools designed to automate accounts receivable follow-up and payer collections workflows. Your expertise in claim status follow-up, payer correspondence, and A/R management will directly inform AI systems that reduce days in accounts receivable and improve revenue recovery.

Responsibilities

• Lead A/R follow-up operations across commercial, Medicare, Medicaid, and managed care payers, ensuring 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.

• Prioritise A/R queues by ageing bucket, payer, and dollar value to maximise revenue recovery.

• Identify and resolve claim payment discrepancies, payer processing errors, and underpayments.

• Monitor A/R KPIs including days in A/R, ageing 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 prioritising 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 Qualifications

• 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.

Why Join?

• Contribute to the development of frontier AI systems in healthcare.

• Collaborate with a world-class AI research organisation.

• Gain exposure to cutting-edge AI workflows in accounts receivable and revenue cycle management.

• Opportunity to work on high-impact projects shaping the future of healthcare AI.