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Remote Deep Creek Jobs (NOW HIRING)

US, UK, Canada, France, Portugal (remote) We are seeking a skilled Insurance Policy Administration ... Deep knowledge of insurance coverage structures, policy language, and risk interpretation.

... Johns Creek, GA. In the US, we're experiencing multiple years of double-digit growth and ... Remote Work Schedule: First Shift - Monday - Friday, 8:30am - 5:00pm Work Travel: 10% domestic ...

Principal Technology Solutions

Atlanta, GA · On-site +1

$145K - $247K/yr

All remote positions are based in the United States, and candidates must reside within the U.S. to ... Guidewire, Duck Creek, Vertafore, Majesco, Insurity, Applied Epic. * A foundational background in ...

Principal Technology Solutions

Atlanta, GA · Remote

$145K - $247K/yr

All remote positions are based in the United States, and candidates must reside within the U.S. to ... Guidewire, Duck Creek, Vertafore, Majesco, Insurity, Applied Epic. * A foundational background in ...

Senior Product Manager

Atlanta, GA · On-site +1

$121K - $160K/yr

... insurance carriers, with deep specialization in Workers' Compensation. For 25 years, our ... This position operates in a remote environment with frequent use of computers and office equipment.

Senior Product Manager

Atlanta, GA · On-site +1

$121K - $160K/yr

... insurance carriers, with deep specialization in Workers' Compensation. For 25 years, our ... This position operates in a remote environment with frequent use of computers and office equipment.

Senior Product Manager

Atlanta, GA · Remote

$150K - $200K/yr

... insurance carriers, with deep specialization in Workers' Compensation. For 25 years, our ... This position operates in a remote environment with frequent use of computers and office equipment.

PR Intern

Denver, CO · On-site +1

$25/hr

Our approach is grounded in a deep understanding of human behavior and shaped by real industry ... environment with remote and flexible work arrangements available, central Cherry Creek office ...

Showing results 21-40

Remote Deep Creek information

What is the difference between Remote Deep Creek vs Remote Forest Technician?

AspectRemote Deep CreekRemote Forest Technician
Required CredentialsHigh school diploma or equivalent, relevant certificationsHigh school diploma, forestry or environmental certifications often preferred
Work EnvironmentRemote, often field-based in water or aquatic environmentsRemote, outdoor in forested or woodland areas
Industry UsageWater management, aquatic ecosystems, environmental monitoringForestry, conservation, land management
Common Search/ComparisonRemote Deep Creek vs Remote Forest Technician

Remote Deep Creek and Remote Forest Technician roles both involve fieldwork and environmental monitoring, but they focus on different ecosystems. Remote Deep Creek specialists typically work in aquatic environments, while Remote Forest Technicians focus on forested areas. Both roles require relevant certifications and are essential in environmental conservation efforts.

More about Remote Deep Creek jobs
What cities are hiring for Remote Deep Creek jobs? Cities with the most Remote Deep Creek job openings:
What are the most commonly searched types of Deep Creek jobs? The most popular types of Deep Creek jobs are:
What states have the most Remote Deep Creek jobs? States with the most job openings for Remote Deep Creek jobs include:
Infographic showing various Remote Deep Creek job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Insurance Policy Administration AI Expert

Weekday AI

Remote

$100 - $120/hr

Part-time

Re-posted 18 days ago


Job 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.