Remote Insurance Claims AI Expert - Part-Time

Weekday AI; United States; Remote; USD 138,000 - 165,000; Part time

Job summary

Weekday AI seeks an Insurance Claims Management AI Expert to design and deploy AI-driven solutions across claims intake, investigation, and adjudication, blending insurance domain knowledge with data science to improve speed, accuracy, and customer experience.

Collaborate with underwriting, fraud, legal, and IT to integrate models into operations, build predictive tools for reserve setting, loss estimation, subrogation, and recovery, and ensure regulatory compliance.

Qualifications

• Bachelor’s or Master’s degree in CS, data science, actuarial science, insurance, or related field.
• 2–8 years of experience in insurance claims, analytics, or AI/ML roles.
• Experience with ML frameworks and data analysis tools.
• Familiarity with NLP, computer vision, or document processing for claims automation.

Responsibilities

• Design and optimize AI-driven claims intake, investigation, and adjudication workflows.
• Collaborate with underwriting, fraud detection, legal, and IT to integrate AI models into operations.
• Develop AI models for automated data extraction and triage from documents, images, and submissions.
• Build AI-assisted decision engines aligned with policy coverage and regulatory standards.

Skills

AI/ML experience

Data analysis

Communication skills

Cross-functional collaboration

Education

Bachelor’s or Master’s degree in CS/DS/Actuarial/Insurance

Tools

Python

TensorFlow

PyTorch

Document processing tools

Job description

Weekday AI seeks an Insurance Claims Management AI Expert to design and deploy AI-driven solutions across claims intake, investigation, and adjudication, blending insurance domain knowledge with data science to improve speed, accuracy, and customer experience.

Collaborate with underwriting, fraud, legal, and IT to integrate models into operations, build predictive tools for reserve setting, loss estimation, subrogation, and recovery, and ensure regulatory compliance.