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Remote Marine Insurance Claims Jobs (NOW HIRING)

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 ...

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Remote Marine Insurance Claims information

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$6

$24

$40

How much do remote marine insurance claims jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote marine insurance claims in the United States is $24.56, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $28.85 per hour, depending on experience, location, and employer.

What is a remote marine insurance claims job?

Remote marine insurance claims jobs involve evaluating, processing, and managing insurance claims related to marine incidents, such as cargo damage, vessel accidents, or liability losses, from a remote location. Professionals in this field review documentation, communicate with clients and stakeholders, and ensure claims are handled efficiently and in accordance with policy terms. These roles often require knowledge of maritime law, insurance practices, and strong analytical and communication skills. Remote work setups allow professionals to perform these duties without needing to be physically present in an office or at a port.

What are the key skills and qualifications needed to thrive as a remote marine insurance claims specialist?

To thrive as a Remote Marine Insurance Claims Specialist, a solid understanding of marine insurance policies, claims processing, and maritime regulations is essential, typically supported by experience in insurance or a related field. Familiarity with claims management software, digital documentation tools, and sometimes industry certifications like the Associate in Marine Insurance Management (AMIM) are valuable. Strong analytical thinking, attention to detail, and effective virtual communication make a candidate stand out in this remote role. These skills ensure accurate claim resolutions, regulatory compliance, and seamless client interactions in a complex, international environment.

What are some common challenges faced by remote marine insurance claims professionals, and how can they be effectively managed?

Remote marine insurance claims professionals often encounter challenges such as coordinating with international clients and stakeholders across different time zones, handling complex documentation, and verifying claims without on-site inspections. To manage these effectively, strong communication skills, proficiency with digital claims management platforms, and a proactive approach to collaboration are essential. Building a network of reliable local surveyors and leveraging technology for real-time updates can also help streamline the claims process and ensure timely resolutions.

What is the difference between Remote Marine Insurance Claims vs Remote Marine Underwriters?

AspectRemote Marine Insurance ClaimsRemote Marine Underwriters
Required CredentialsAdjuster certifications, insurance licensesActuarial certifications, underwriting licenses
Work EnvironmentRemote, claims offices, client sitesRemote, underwriting departments, insurance companies
Industry UsageHandling claims, assessing damagesEvaluating risks, setting policy terms
Common Search IntentClaims process, claim adjustmentRisk assessment, policy pricing

Remote Marine Insurance Claims specialists focus on managing and adjusting claims after incidents, requiring claims handling skills and relevant licenses. In contrast, Remote Marine Underwriters evaluate risks and determine policy terms, often needing actuarial knowledge and underwriting certifications. Both roles are essential in the marine insurance industry but serve different functions within the insurance process.

More about Remote Marine Insurance Claims jobs

What cities are hiring for Remote Marine Insurance Claims jobs?

Cities with the most Remote Marine Insurance Claims job openings:

What are the most commonly searched types of Marine Insurance Claims jobs?

The most popular types of Marine Insurance Claims jobs are:

What states have the most Remote Marine Insurance Claims jobs?

States with the most job openings for Remote Marine Insurance Claims jobs include:

Infographic showing various Remote Marine Insurance Claims job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $51,091 per year, or $24.6 per hour.

Insurance Claims Management 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 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