Weekday AI

Proactive software engineer recruitment via referrals

Insurance Policy Administration AI Expert

Applied Machine LearningConfirmed live in the last 24 hours

Part-time$100 - $120 /hr

About the Job

Requirements

A Bachelor's or Master's degree in Insurance, Actuarial Science, Computer Science, Data Science, or a related field is required.
Two to seven years of experience in insurance operations, policy administration, or AI/ML implementation in the insurance domain is required.
Strong understanding of policy lifecycle processes, including issuance, endorsements, cancellations, and renewals, is required.
Deep knowledge of insurance coverage structures, policy language, and risk interpretation is required.
Experience with AI/ML techniques such as Natural Language Processing, classification models, and rule-based systems is required.
Familiarity with regulatory and compliance frameworks, such as IRDAI guidelines, GDPR, or other regional insurance regulations, is required.
Hands-on experience with data analysis tools such as Python and SQL, and AI frameworks such as TensorFlow, PyTorch, or similar, is required.
Ability to translate business requirements into technical solutions and vice versa is required.
Strong problem-solving skills and attention to detail, especially in handling exceptions and edge cases in policy processing, are required.

Responsibilities

Design, develop, and implement AI-driven solutions to streamline end-to-end policy administration processes, including policy issuance, mid-term endorsements, and renewals.
Analyze and interpret complex insurance policy coverage, translating business rules into scalable AI/ML models and decision frameworks.
Collaborate with underwriting, operations, and compliance teams to automate policy workflows while maintaining accuracy and auditability.
Build intelligent systems for document processing, policy validation, and exception handling using Natural Language Processing, rule engines, and predictive models.
Enhance renewal strategies through data-driven insights, customer behavior analysis, and risk profiling.
Ensure AI systems align with regulatory requirements across jurisdictions by incorporating compliance checks into automated workflows.
Monitor model performance, accuracy, and bias, and continuously improve systems based on feedback and evolving regulatory standards.
Support integration of AI solutions with policy administration systems, core insurance platforms, and third-party data providers.
Provide domain expertise in interpreting policy wording, exclusions, and coverage limits to ensure correct system outputs.

Desired Qualifications

Experience working with Policy Administration Systems such as Guidewire, Duck Creek, or similar platforms.
Exposure to intelligent document processing and optical character recognition technologies.
Understanding of underwriting principles and claims impact on policy structures.
Experience implementing AI governance or model risk management frameworks.

Insurance Policy Administration 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 skilled Insurance Policy Administration AI Expert to join our team and help transform core insurance operations through intelligent automation and data-driven insights. This role sits at the intersection of insurance domain expertise and applied AI, focusing on optimizing policy lifecycle processes such as issuance, endorsements, and renewals while ensuring compliance and accuracy.

Requirements

Key Responsibilities:

Design, develop, and implement AI-driven solutions to streamline end-to-end policy administration processes, including policy issuance, mid-term endorsements, and renewals.
Analyze and interpret complex insurance policy coverage, translating business rules into scalable AI/ML models and decision frameworks.
Collaborate with underwriting, operations, and compliance teams to automate policy workflows while maintaining high accuracy and auditability.
Build intelligent systems for document processing, policy validation, and exception handling using NLP, rule engines, and predictive models.
Enhance renewal strategies through data-driven insights, customer behavior analysis, and risk profiling.
Ensure AI systems align with regulatory requirements across jurisdictions, incorporating compliance checks into automated workflows.
Monitor model performance, accuracy, and bias, continuously improving systems based on feedback and evolving regulatory standards.
Support integration of AI solutions with policy administration systems (PAS), core insurance platforms, and third-party data providers.
Provide domain expertise in interpreting policy wording, exclusions, and coverage limits to ensure correct system outputs.

Required Skills & Qualifications:

Bachelor’s or Master’s degree in Insurance, Actuarial Science, Computer Science, Data Science, or a related field.
2–7 years of experience in insurance operations, policy administration, or AI/ML implementation in the insurance domain.
Strong understanding of policy lifecycle processes: issuance, endorsements, cancellations, and renewals.
Deep knowledge of insurance coverage structures, policy language, and risk interpretation.
Experience with AI/ML techniques such as Natural Language Processing (NLP), classification models, and rule-based systems.
Familiarity with regulatory and compliance frameworks (e.g., IRDAI guidelines, GDPR, or other regional insurance regulations).
Hands-on experience with data analysis tools (Python, SQL) and AI frameworks (TensorFlow, PyTorch, or similar).
Ability to translate business requirements into technical solutions and vice versa.
Strong problem-solving skills and attention to detail, especially in handling exceptions and edge cases in policy processing.

Preferred Qualifications:

Experience working with Policy Administration Systems (e.g., Guidewire, Duck Creek, or similar platforms).
Exposure to intelligent document processing (IDP) and OCR technologies.
Understanding of underwriting principles and claims impact on policy structures.
Experience in implementing AI governance or model risk management frameworks.

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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

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