Claims Processing Agent - Freelance AI Trainer
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About the Role
Design FNOL scenarios with deliberate contradictions, decoy files, and outdated documents to test agent robustness; Write and grade fraud-flagging scenarios using structured rea.
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Overview
- Design FNOL scenarios with deliberate contradictions, decoy files, and outdated documents to test agent robustness;
- Write and grade fraud-flagging scenarios using structured reason codes (late reporting, recently purchased policy, inconsistent damage) for SIU referral;
- Build subrogation test cases applying state-specific negligence rules (comparative vs. contributory) and assess likelihood of recovery;
- Document test cases clearly with correct answers, policy citations, and payout calculations.
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