Senior Insurance Claims Expert for AI Training

Role Overview

Apply senior claims expertise to real-world auto liability, property, catastrophe, and contents scenarios that help improve AI systems used in insurance claims processing. This fully remote contract role focuses on producing defensible claim determinations, detailed valuations, and adjuster-quality reasoning. Prior AI experience is not required.

Key Responsibilities

• Review disputed-fault auto claims using video recordings, written statements, and supporting documentation.
• Apply comparative-fault and liability principles to determine precise, defensible claim outcomes.
• Assess property and catastrophe damage through aerial roof imagery and catastrophe photographs.
• Identify and evaluate contents from photographic evidence, including detailed inventory and valuation assessments.
• Prepare clear determination reports that reflect licensed-adjuster documentation standards.
• Communicate findings and technical rationale through concise professional written and verbal feedback as needed.
• Contribute insurance claims data and insights that improve AI accuracy and reliability.

Qualifications

• At least 5 years of insurance claims management experience, focused on auto liability, property, catastrophe, and contents assessment.
• Experience determining comparative fault and evaluating complex liability matters.
• Ability to interpret photographic, video, and aerial imagery in an insurance claims setting.
• Strong written and verbal communication skills, including the ability to explain technical reasoning clearly.
• A record of producing thorough, accurate claim documentation and valuation reports.
• Ability to work independently in a fully remote, technology-enabled environment using digital tools to review evidence and submit reports.
• An active state adjuster license or certifications such as AIC, CPCU, HAAG, or ACTAR are preferred.

Work Terms

• Remote contract engagement.

Compensation

• $20 to $60 per hour.

Application Process

Submit an application and acknowledge the applicable candidate terms and privacy policy.