Weekday AI

Proactive software engineer recruitment via referrals

Insurance Claims Management AI Expert

Applied Machine LearningConfirmed live in the last 24 hours

Part-time$100 - $120 /hrRemote

About the Job

Requirements

A bachelor's or master's degree in Computer Science, Data Science, Actuarial Science, Insurance, or a related field is required.
Two to eight years of experience in insurance claims management, analytics, or artificial intelligence/machine learning roles is required.
A strong understanding of claims lifecycle processes, including intake, investigation, adjudication, and recovery, is required.
Hands-on experience with machine learning frameworks such as Python, TensorFlow, or PyTorch and data analysis tools is required.
Familiarity with natural language processing, computer vision, or document processing tools for claims automation is required.
Experience working with large datasets and building predictive models is required.

Responsibilities

Design, implement, and optimize intelligent systems across claims intake, investigation, and adjudication workflows.
Work with underwriting, fraud detection, legal, and IT teams to integrate AI models into operational environments.
Develop and refine AI models to automate data extraction, classification, and triaging of claims from documents, images, and customer submissions.
Improve claims turnaround time and minimize manual intervention.
Use machine learning and predictive analytics to identify anomalies, detect potential fraud, and support decision-making.
Build intelligent workflows that prioritize high-risk claims and provide adjusters with actionable insights.
Design AI-assisted decision engines that recommend claim outcomes based on policy coverage, historical data, and risk profiles, while supporting consistency and regulatory compliance.
Develop predictive models for reserve setting and loss estimation using historical claims data, actuarial inputs, and real-time indicators.
Continuously refine reserve and loss-estimation models to improve forecasting accuracy and reduce financial leakage.
Design 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.

Desired Qualifications

Knowledge of insurance regulations and compliance requirements.
Experience with claims management systems and workflow automation tools.

Insurance Claims Management AI Expert

Weekday AI · United States (Remote) · Part-time · Posted 2026-04-21

Workplace: remote

Department: AI Training

Description

This role is for one of our clients

Compensation: $100-$120 per hour (20 hours per week commitment)
Job Type: Part-time / Contract

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

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.

Requirements

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

Apply

Apply at Weekday AI

About the Company

Weekday AI

Proactive software engineer recruitment via referrals

Weekday.works helps companies hire software engineers through proactive outreach and peer-recommended candidates. Its platform automates tracking, pipeline management, and provides weekly updates, while it actively identifies engineers via peer networks, reaches out, shortlists, checks references, and schedules interviews. Differentiators include peer-backed vetting instead of traditional job boards, proactive outreach, and a passive-income reference feature that monetizes referrals. The goal is to reduce the time and effort of hiring by connecting companies with pre-vetted engineers who are open to new opportunities through a network-driven approach.

Company size: 201-500
Company stage: Seed
Total funding: $2.3M
Headquarters: Bengaluru, India
Founded: 2021

Recently Posted Jobs

Explore more opportunities at Weekday AI

See more jobs