Claims Fraud Evidence Review Expert

You will review claims evidence and turn your findings into clear, evidence-based feedback for AI training datasets. Your work will support structured review by SIU investigators and forensic engineers.

• Review CCTV and dashcam footage, scene photographs, statements, engineering reports, and other digital claim evidence.
• Reconstruct accident or loss events and assess causation and authenticity.
• Identify possible staged-loss indicators and other signs of claims fraud.
• Write clear findings suitable for SIU investigators or forensic engineers.
• Apply consistent judgment, strong analysis, and professional written communication to AI training work.

• Pay: $20 to $60 per hour.
• Schedule: Part time, with less than 20 hours per week.
• Location: Open to candidates in AE, AR, AT, BD, BE, BH, BR, CA, CH, CL, CO, DE, DK, DZ, EG, ES, FR, GB, GH, GR, ID, IN, IT, JO, JP, KE, KG, KW, KZ, LB, LK, MA, MX, MY, NG, NL, OM, PE, PH, PK, PS, PT, QA, SA, SG, TH, TN, TW, US, UZ, VN, and ZA.
• Language: Fluent English is required.
• Experience level: Entry level.
• Background: At least seven years of experience in special investigations, SIU work, insurance fraud detection, forensic engineering, or fleet safety review.
• Skills: Evaluate visual and technical claim evidence, use analytical and critical-thinking skills, and write evidence-based reports or affidavits.
• Evidence knowledge: Familiarity with video, photographic, and telematics evidence is required.
• Helpful experience: Remote consulting or advisory work.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training is the human work behind systems that learn from examples. People review evidence, label information, write feedback, and apply specialist judgment so AI models can produce more accurate results; experienced professionals are valued because their subject knowledge improves the quality of that training.

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