Description
Please submit your CV in English and indicate your level of English proficiency.
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Design FNOL scenarios with deliberate contradictions, decoy files, and outdated documents to test agent robustness;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.
What we look for




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. Ideally, contributors will have:
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+).
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 * hours per week during active phases, based on project requirements. Thi

📌 Claims Processing Agent (España)
🏢 Mindrift
📍 España