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About the Role

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.

Responsibilities

• 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• Design realistic FNOL (First Notice of Loss) scenarios with deliberate contradictions, decoy files, and outdated documents to test agent robustness.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) requiring domain knowledge.
• 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.

Requirements

• Degree in Finance, Business, Insurance, or related field, or equivalent professional experience.
• AIC, CPCU, or comparable credentials, or 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 external reference.
• Familiarity with U.S. state-specific rules, including comparative vs. contributory negligence states and adjuster licensing requirements.
• Experience reading full auto policy documents with citation discipline (e.g., able to reference a specific section like "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 SCLA credential is a strong positive signal.
• Strong written English (C1+).
• Submit CV in English and indicate English proficiency level.

Skills

• Coverage decision-making
• Knowledge of U.S. state-specific insurance rules
• Auto policy document interpretation
• Citation discipline
• Payout calculation
• Excel
• Bad-faith line awareness
• Adjuster authority-limit culture awareness
• Written English (C1+)

Work Type

• Project-based
• Part-time
• Non-permanent

Experience Level

• 3+ years of hands-on auto claims adjusting, examining, or supervisory experience
• 4+ years of hands-on claims adjusting experience

Education Level

• Degree in Finance, Business, Insurance, or related field
• Equivalent professional experience
• AIC credential
• CPCU credential
• CIFI credential
• SCLA credential

Salary/Compensations

• Up to $60 per hour equivalent

About the Company

• Mindrift connects specialists with project-based AI opportunities for leading tech companies.
• Mindrift focuses on testing, evaluating, and improving AI systems.