AutoClaimsExaminer-FreelanceAITrainer

_Please submit your CV in English and indicate your level of English proficiency. _ Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. **Participation is project-based, not permanent employment.** **What this opportunity involves** While each project involves unique tasks, contributors may: * Evaluate AI-generated auto insurance claims decisions for accuracy, coverage correctness, and regulatory compliance; * Design realistic FNOL (First Notice of Loss) scenarios with deliberate contradictions, decoy files, and outdated documents to test agent robustness; * Create test cases for coverage-scope decisions (collision vs. comprehensive) where the correct answer requires domain knowledge, not keyword matching; * 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; * Develop supervisor-escalation scenarios that test whether the agent correctly recognizes authority-limit thresholds ($25,000) and stops short of auto-approving; * Draft and evaluate reservation-of-rights letter scenarios, verifying language stays within the bad-faith line; * Validate coverage-limits math when multiple endorsements (OEM, rideshare, extended rental) stack on a single claim; * Document test cases clearly with correct answers, policy citations, and payout calculations. **What we look for** This opportunity is a good fit for mortgage underwriters and loan origination professionals open to part-time, non-permanent projects. Ideally, contributors will have: * Degree in Finance, Business, Insurance, or related field — or equivalent professional experience; no specific degree is required if AIC, CPCU, or comparable credentials are present, or if the candidate has 4+ y