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Part Time Remote Auto Claims Adjuster Jobs (NOW HIRING)

... Type: Part-time / Contract Location: US, UK, Canada, France, Portugal (remote) We are seeking a ... adjusters with actionable insights. In adjudication, you will help design AI-assisted decision ...

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Part Time Remote Auto Claims Adjuster information

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$30K

$57.5K

$76.5K

How much do part time remote auto claims adjuster jobs pay per year?

As of Jul 2, 2026, the average yearly pay for part time remote auto claims adjuster in the United States is $57,485.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,500.00 and $64,500.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Remote Auto Claims Adjuster vs Part Time Remote Property Claims Adjuster?

AspectPart Time Remote Auto Claims Adjuster

The Part Time Remote Auto Claims Adjuster primarily handles vehicle accident claims, requiring knowledge of auto insurance policies, vehicle damage assessment, and claims processing. The Part Time Remote Property Claims Adjuster focuses on property damage claims, such as homes or commercial buildings, with expertise in property valuation and damage assessment. Both roles often require similar certifications, like state licensing, and are performed remotely within insurance companies. The main difference lies in the type of claims managed, with auto claims centered on vehicles and property claims on physical structures.

What cities are hiring for Part Time Remote Auto Claims Adjuster jobs? Cities with the most Part Time Remote Auto Claims Adjuster job openings:
What are the most commonly searched types of Remote Auto Claims Adjuster jobs? The most popular types of Remote Auto Claims Adjuster jobs are:
What states have the most Part Time Remote Auto Claims Adjuster jobs? States with the most job openings for Part Time Remote Auto Claims Adjuster jobs include:

Insurance Claims Management AI Expert

Weekday AI

Remote

$100 - $120/hr

Part-time

Posted 12 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