Claims Processing Agent - Freelance AI Trainer

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• Design FNOL scenarios with deliberate contradictions, decoy files, and outdated documents to test agent robustness.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.

Qualifications

• Degree in Insurance, Risk Management, Business Administration, Finance, Law, or any related field.
• 3+ years of insurance, claims, legal, or financial services experience.
• Current or recent experience in claims & adjusting or adjacent roles.
• Familiarity with auto insurance coverage decisions, state-specific negligence rules, and adjuster authority-limit culture.
• AIC, CPCU, CIFI, or SCLA credential is a strong positive signal, though not required if hands-on experience is solid.
• Strong written English (C1+).

Requirements

• Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid.

Benefits

• Tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.
• Compensation can be up to $60 per hour equivalent, depending on level and pace of contribution.
• Compensation varies across projects depending on scope, complexity, and required expertise.
• Other projects on the platform may offer different earning levels based on their requirements.