[Hiring] Senior Auto Claims Adjuster - Freelance AI Trainer @Mindrift

Role Description

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:

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• Design realistic FNOL (First Notice of Loss) scenarios with deliberate contradictions, decoy files, and outdated documents to test agent robustness.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

Qualifications

• 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 SCLA credential is a strong positive signal — but not required if experience is solid.
• Strong written English (C1+).

Requirements

• Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid.
• For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

• On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.
• Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.