Remote Senior Claims Forensics & Fraud Investigator

micro1; United States; Remote; USD 28,000 - 83,000; Part time

Job summary

micro1 is seeking a Senior Claims Investigation and Evidence Review Expert for a remote, contractor role (~10 hours per week). You will analyze digital claim evidence, reconstruct events, and prepare detailed assessments for SIU and forensic engineers. The work supports AI data training and model refinement.

The role emphasizes expert-level domain knowledge in fraud detection, staged-loss, and forensic analysis, with flexible scheduling and international collaboration.

Qualifications

• Minimum 7 years of experience in special investigations, SIU, insurance fraud detection, or forensic engineering.
• Experience assessing claim evidence including video, photos and reports for legitimacy.

Responsibilities

• Analyze digital claim evidence (CCTV, dashcam footage, photos, statements, engineering reports) to identify fraud or staged incidents.
• Reconstruct accident or loss events by reviewing materials to clarify causation and authenticity.
• Provide detailed written assessments for SIU investigators or forensic engineers with clear reasoning.
• Identify patterns or anomalies indicating fraudulent activity using forensic knowledge.
• Collaborate remotely to support creation of AI datasets with accurate input data.
• Maintain clear written and spoken communications for clarifications or feedback.
• Contribute insights from investigations to improve project outcomes.

Skills

Special investigations

Staged-loss

Fraud detection

Job description

micro1 is seeking a Senior Claims Investigation and Evidence Review Expert for a remote, contractor role (~10 hours per week). You will analyze digital claim evidence, reconstruct events, and prepare detailed assessments for SIU and forensic engineers. The work supports AI data training and model refinement.

The role emphasizes expert-level domain knowledge in fraud detection, staged-loss, and forensic analysis, with flexible scheduling and international collaboration.