Remote Claims Operations Expert – AI Trainer ($55-$80 per hour)

by Mercor Inc in

Job role overview

  • Date posted

    May 7, 2026

  • Hiring location

    Rockford

Description

What you'll do
Mercor is partnering with leading AI labs to advance frontier agent evaluations in claims operations. As a Claims Operations Expert, you'll build long-horizon claims tasks that mirror the work you already do, each paired with a deterministic rubric that grades agent performance against verifiable ground truth. Tasks need to have checkable answers; no open-ended essays, no subjective judgment calls. Expect to build scenarios across: FNOL and triage—intake against required-field checklists, coverage analysis with a documented correct determination, claim assignment against defined routing rules.

Adjudication: reserve setting against guidelines with ground-truth reserve amounts, adjuster notes with required elements, settlement or denial letters against policy language

Specialized handling: subrogation screening against defined criteria, SIU fraud referrals triggered by rule‑based red flags, litigation file management against required-document lists. These scenarios will be challenging and take long sessions of focus.

Who we're looking for—3+ years as a claims adjuster, claims operations specialist, or claims supervisor (P&C, workers' comp, or specialty lines)

Adjuster licensure in at least one US state strongly preferred

Expertise in one or more of the following: a specific claim type (auto, property, general liability, workers comp, medical), coverage analysis and policy interpretation, reserving practice, subrogation, SIU or fraud investigation, a claims system (Guidewire ClaimCenter, Duck Creek, legacy carrier systems)

Comfortable reading and producing claims artifacts: FNOLs, coverage opinions, reserve memos, adjuster notes, settlement and denial letters

Clear written communication; can articulate reasoning step by step and encode it into deterministic rubrics

Located in the United States Compensation $55–$80 / hr depending on domain depth and prior experience. Strong contributors are promoted based on task quality and throughput.

#J-18808-Ljbffr

work mode

On-site

Interested in this job?

22 days left to apply

Apply now

Call employer
Apply now
Send message
Cancel