Job Description
- *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
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