Remote Insurance Verification & Benefits Data Specialist

Pearl · Remote

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Work From Anywhere in the Philippines

Work Schedule: PST │ 10:00 AM – 5:00/6:00 PM, synchronous availability required

About Pearl Talent

Pearl works with the top 1% of candidates from around the world and connects them with the best startups in the US and EU. Our clients have raised over $5B in aggregate and are backed by companies like OpenAI, a16z, and Founders Fund.

Hear why we exist, what we believe in, and who we’re building for:
Watch here: https://www.loom.com/share/863b8e426e6d48309aa8f4ea4c1c94cd

About the Client

An early-stage healthcare AI company building automation for insurance verification and prior authorization for US surgery centers and hospital systems is looking for an Insurance Verification Specialist to produce structured, checked benefits data and audit the accuracy of its automated output.

Today the company relies on its customers’ verifiers, whose free-text notes are fast but inconsistent and cannot be analyzed at scale. This is the first hire on a small operations and data team, reporting directly to a founder in a lean environment with a 1–2 week onboarding.

About the Role

The Insurance Verification Specialist runs eligibility and benefits checks in US payer portals, calls payers when portal data is missing or unclear, follows prior authorization requests through to approval, and calculates estimated patient responsibility from a written formula. The role also audits the automation’s output against portal and call results, documents payer quirks, and maintains a curated set of checked cases for regression testing. Expected output is about 30 new verifications per day, or 100–200 QA checks per day depending on task mix. Success means every field recorded the same way with evidence attached, unknowns flagged instead of guessed, and mismatches reported with specific, reproducible reasons.

Core Responsibilities

Eligibility & Benefits Verification

Payer Calls & Prior Authorization

Patient Responsibility & Data Quality

Documentation & Quality Standards

Requirements

Must-Have

Nice-to-Have

Benefits

Our Recruitment Process

  1. Application
  2. Screening
  3. Skills Assessment
  4. Topgrading Interview
  5. Client Interview
  6. Job Offer
  7. Client Onboarding

Ready to Join Us?

If you’re empathetic, organized, and passionate about improving patient experiences through operational excellence, this role is for you. Apply now to help make specialized healthcare more accessible to patients across the U.S.

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