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Remote Machine Adjuster Jobs (NOW HIRING)

US, UK, Canada, France, Portugal (remote) We are seeking a highly motivated and detail-oriented ... For claims investigation, you will leverage machine learning and predictive analytics to identify ...

... adjusters, and internal teams to support appropriate treatment plans and timely return-to-work ... This is a full-time, fully remote position , offering the opportunity to make a meaningful impact ...

Senior Intake Coordinator

Tampa, FL · Remote

$17 - $23.25/hr

This position is fully remote and offers a consistent schedule of Monday through Friday, 12:00 PM ... Maintain payer billing location information as well as adjusters and case managers' information.

New

Senior Product Manager

Atlanta, GA · Remote

$150K - $200K/yr

For 25 years, our investigators, nurses, and analysts have helped adjusters resolve claims faster ... Minimum 3 years of experience building and launching AI, machine learning, or LLM-powered products ...

Senior Product Manager

Atlanta, GA · On-site +1

$121K - $160K/yr

For 25 years, our investigators, nurses, and analysts have helped adjusters resolve claims faster ... Minimum 3 years of experience building and launching AI, machine learning, or LLM-powered products ...

Senior Product Manager

Atlanta, GA · On-site +1

$121K - $160K/yr

For 25 years, our investigators, nurses, and analysts have helped adjusters resolve claims faster ... Minimum 3 years of experience building and launching AI, machine learning, or LLM-powered products ...

Hybrid or Remote based on location Position type: Full time - salary We're a team of employees ... adjuster and advanced cutting edge analytic referrals of both artificial intelligence and machine ...

Hybrid or Remote based on location Position type: Full time - salary We're a team of employees ... adjuster and advanced cutting edge analytic referrals of both artificial intelligence and machine ...

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Remote Machine Adjuster information

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How much do remote machine adjuster jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for remote machine adjuster in the United States is $21.33, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $22.84 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Machine Adjuster jobs? The most popular types of Machine Adjuster jobs are:
What states have the most Remote Machine Adjuster jobs? States with the most job openings for Remote Machine Adjuster jobs include:
Infographic showing various Remote Machine Adjuster job openings in the United States as of July 2026, with employment types broken down into 3% Internship, 92% Full Time, 2% Part Time, and 3% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $44,363 per year, or $21.3 per hour.
Staff Data Scientist (Insurance Claims)

Staff Data Scientist (Insurance Claims)

Clara Analytics

Remote

$200K - $220K/yr

Full-time

Medical, Retirement, PTO

Re-posted 23 days ago


Job description

About CLARA Analytics
CLARA Analytics is the leading AI as a service (AIaaS) provider that improves casualty claims outcomes for commercial insurance carriers and self-insured organizations. The company's product suite for workers comp, commercial auto and general liability insurance claims applies image recognition, natural language processing, and other AI-based techniques to unlock insights from medical notes, bills and other documents surrounding a claim. CLARA's customers include companies from the top 25 global insurance carriers to large third-party administrators and self-insured organizations. Founded in 2017, CLARA Analytics is headquartered in California's Silicon Valley. For more information, visit www.claraanalytics.com.
About the role
We're seeking a Staff Data Scientist to architect and lead the development of our core Claim Clustering Platform-the intelligence layer that powers how we compare and analyze Bodily Injury (BI) claims across Workers' Compensation, General Liability, and Auto Liability. This is a highly technical, hands-on role where you will design systems that move beyond experimentation into robust, production-grade solutions. You'll collaborate closely with Machine Learning Engineers and MLOps specialists to ensure scalability, reliability, and continuous improvement. You'll also serve as a critical bridge to Data and Application Engineering teams, ensuring seamless integration with downstream systems such as benchmarking and fraud detection.
What You'll Do
  • Design and own the mathematical and technical framework for a scalable clustering engine that groups claims based on clinical, legal, and financial attributes.
  • Partner with Machine Learning Engineers to translate prototypes into optimized production systems, and work with MLOps to implement automated retraining, monitoring, and model lifecycle management.
  • Collaborate with Data and Application Engineering teams to define APIs and data contracts that power internal tools such as attorney and physician benchmarking, as well as fraud detection systems.
  • Develop advanced representations of claims using both structured data (e.g., ICD codes, geographic data, indemnity and legal costs) and unstructured data (e.g., adjuster notes, medical records, legal documents).
  • Act as a subject matter expert within the broader engineering organization, ensuring alignment between data science initiatives, system architecture, and production reliability standards.

What We're Looking For
  • At least 7 years in Data Science with a strong track record of deploying models into production environments.
  • Deep experience with casualty claims, including 4+ years of hands-on work in Workers' Compensation or General Liability. Familiarity with claim lifecycles, medical billing (ICD/CPT), litigation processes, and reserve dynamics is crucial.
  • Strong proficiency in Python and solid software engineering fundamentals, including system design, CI/CD pipelines, and API development/versioning.
  • Expertise in unsupervised learning techniques (clustering, dimensionality reduction) and NLP methods (transformers, embeddings, LLM-based approaches) for analyzing complex, unstructured data.
  • Proven ability to lead and execute projects across Data Science, Engineering, DevOps, and Product teams.

What We Offer
  • The opportunity to make a real impact on a growing company.
  • Collaborative and supportive work environment.
  • Competitive compensation package.
    • Salary + Bonus
    • Benefits: generously subsidized health insurance, employer-paid ancillary benefits, flex/unlimited PTO, fully remote, 401k with company match
  • Be a part of a team that is passionate about what we do!

The pay range for this role is:
200,000 - 220,000 USD per year (Remote (United States))