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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- Design realistic FNOL (First Notice of Loss) scenarios with deliberate contradictions, decoy files, and outdated documents to test agent robustness;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+ years of hands-on claims adjusting experience;
- 3+ years of hands-on auto claims adjusting, examining, or supervisory experience at a U.S. carrier, independent adjusting firm, or SIU team;
- Ability to make coverage decisions (collision vs. comprehensive, endorsement stacking, exclusion vs. coverage grant) without looking them up;
- Familiarity with U.S. state-specific rules — comparative vs. contributory negligence states, state adjuster licensing requirements;
- Experience reading full auto policy documents with citation discipline (able to reference a specific section, e.g. "Section IV.B.2");
- Comfort computing payout math involving deductibles, sub-limits, and layered endorsements in Excel or equivalent;
- Awareness of the bad-faith line and adjuster authority-limit culture;
- Associate in Claims (AIC), CPCU, CIFI, or