Insurance Claims Management AI Expert

Weekday AI (YC W21); United States; On-site; USD 137,760 - 165,312; Part time

Job summary

Weekday AI (YC W21) is hiring an Insurance Claims Management AI Expert to enhance the efficiency and accuracy of claims processes. This part-time, contract role requires 2-8 years of experience in insurance claims management or AI/ML, expertise in machine learning frameworks, and a strong understanding of the claims lifecycle. Responsibilities include implementing AI solutions for claims intake and adjudication, collaborating with cross-functional teams, and optimizing workflows to improve turnaround times. Remote work flexibility is offered.

Qualifications

• 2-8 years of experience in insurance claims management or AI/ML roles.
• Strong understanding of claims lifecycle processes.
• Hands-on experience with machine learning frameworks.

Responsibilities

• Transform traditional claims processes using AI and advanced analytics.
• Design, implement, and optimize intelligent systems across claims workflows.
• Leverage machine learning to identify anomalies and support decision-making.

Skills

Machine learning frameworks (Python, TensorFlow, PyTorch)

Data analysis tools

Claims lifecycle understanding

NLP and document processing tools

Large datasets handling

Education

Bachelor's or Master's degree in related fields

Job description

Role Overview

We are seeking a highly motivated and detail-oriented Insurance Claims Management AI Expert to join our growing team. This role sits at the intersection of insurance operations, data science, and artificial intelligence, with a strong focus on optimizing the end-to-end claims lifecycle. The ideal candidate will bring a blend of domain expertise in insurance claims and hands‑on experience in deploying AI‑driven solutions to enhance efficiency, accuracy, and customer experience.

Compensation

$100-$120 per hour (20 hours per week commitment)

Job Type

Part-time / Contract

Location

US, UK, Canada, France, Portugal (remote)

Key Responsibilities

You will play a critical role in transforming traditional claims processes using AI and advanced analytics. Your primary responsibilities will include designing, implementing, and optimizing intelligent systems across claims intake, investigation, and adjudication workflows. You will work closely with cross‑functional teams including underwriting, fraud detection, legal, and IT to ensure seamless integration of AI models into operational environments.

In claims intake, you will develop and refine AI models for automated data extraction, classification, and triaging of claims from multiple sources such as documents, images, and customer submissions. Improving turnaround time and minimizing manual intervention will be a key objective.

For claims investigation, you will leverage machine learning and predictive analytics to identify anomalies, detect potential fraud, and support decision‑making. You will contribute to building intelligent workflows that prioritize high‑risk claims and assist adjusters with actionable insights.

In adjudication, you will help design AI‑assisted decision engines that recommend claim outcomes based on policy coverage, historical data, and risk profiles, ensuring consistency and compliance with regulatory standards.

Core Functional Expertise

• Reserve Setting and Loss Estimation: Develop predictive models for accurate reserve setting and loss estimation using historical claims data, actuarial inputs, and real‑time indicators. Continuously refine models to improve forecasting accuracy and reduce financial leakage.
• Subrogation and Recovery: Design intelligent systems to identify subrogation opportunities early in the claims lifecycle. Implement AI tools to track recovery potential, automate documentation, and improve recovery rates through data‑driven insights.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Actuarial Science, Insurance, or a related field
• 2-8 years of experience in insurance claims management, analytics, or AI/ML roles
• Strong understanding of claims lifecycle processes, including intake, investigation, adjudication, and recovery
• Hands‑on experience with machine learning frameworks (e.g., Python, TensorFlow, PyTorch) and data analysis tools
• Familiarity with NLP, computer vision, or document processing tools for claims automation
• Experience working with large datasets and building predictive models

Preferred Skills

• Knowledge of insurance regulations and compliance requirements
• Experience with claims management systems and workflow automation tools
• Strong problem‑solving skills and ability to translate business needs into technical solutions
• Excellent communication skills to collaborate with both technical and non‑technical stakeholders