[Hiring] Claims Analyst - 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.

While each project involves unique tasks, contributors may:

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• Design FNOL scenarios with deliberate contradictions, decoy files, and outdated documents to test agent robustness;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

This opportunity is a good fit for professionals with a background in insurance claims, legal services, or broader financial services who are open to part-time, non-permanent projects.

Benefits

• 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.

How it works

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

Project time expectations

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

Please note that other projects on the platform may offer different earning levels based on their requirements.