Supervisory Examiner - LBO

Mercor A/R Follow-Up Manager 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. #J-18808-Ljbffr Federal Reserve Bank (FRB)