Claims Adjusters, Examiners, and Investigators

About this role

**Role Overview** Mercor is collaborating with a top-tier AI research group to model real-world claims workflows for property and casualty insurance. We are seeking experienced independent contractors—particularly claims adjusters, examiners, and investigators—to execute and evaluate a wide range of P&C insurance tasks. This project supports the development of AI systems capable of understanding, simulating, and automating complex insurance operations. It is a short-term, high-impact engagement ideal for professionals with strong technical and compliance knowledge. **Key Responsibilities** - Execute full-cycle claims tasks including FNOL intake, coverage verification, reserve setting, and liability determination - Simulate real-world workflows using structured tools and mock systems such as Guidewire ClaimCenter and Xactimate - Review and synthesize third-party documentation including police reports, medical records, and vendor estimates - Draft structured outputs such as coverage memos, repair estimates, and liability assessments - Identify inconsistencies or red flags in claim statements and documentation - Evaluate claim compliance, document regulatory deadlines, and assess communication quality - Flag fraud indicators and recommend SIU referrals where applicable - Document all work clearly for auditability and quality review **Ideal Qualifications** - 5+ years handling property, auto, bodily injury, or general liability claims - Familiarity with systems such as Guidewire, Duck Creek, Xactimate, Hyland OnBase, or FileNet - Deep understanding of coverage interpretation, state compliance standards, and claims file documentation - Experience reviewing third-party documentation (e.g., police reports, medical summaries, contractor estimates) - Strong written communication and analytical skills **More About the Opportunity** - **Expected commitment: min 30 hours/week** - **Project duration: ~6 weeks** **Application Process** - Submit your resume followed by domain expertise interview and short form

Eligible applicant countries

This role accepts applicants from:

• CAN
• GBR
• USA

Skills & domains

• ai-training
• rlhf
• sme
• annotation
• Business Operations