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Remote Insurance Risk Engineer Jobs in Boston, MA

DigitalOcean

Senior GRC Analyst

Boston, MA · Remote

$140K - $165K/yr

... internal risk appetite, and operational engineering realities. * Operational Responsiveness ... This is a remote role JR: 2026-8012 #LI-Remote Why You'll Like Working for DigitalOcean * We ...

Ocean Spray

Environmental Engineer

Boston, MA · On-site +1

We are open to remote candidates. In this role, the Environmental Engineer is responsible for ... Compliance Monitoring & Risk Management * Conduct environmental audits, inspections, and risk ...

Care Access

Senior Engineer, Test Automation

Boston, MA · Remote

$130K - $180K/yr

Remote within the United States. This role requires 100% of work to be performed in a remote office ... insurance plan options * Health Savings Account and Flexible Spending Accounts * Bi-weekly HSA ...

Danaher

Senior Engineer, Process Validation

Boston, MA · On-site +1

$100K - $130K/yr

... remote. In this role, you will have the opportunity to: * Design, execute, and summarize ... Drive risk-based approaches using tools such as pFMEA, risk ranking, and criticality assessments ...

Danaher

Senior Engineer, Process Validation

Boston, MA · On-site +1

$100K - $130K/yr

... remote. In this role, you will have the opportunity to: * Design, execute, and summarize ... Drive risk-based approaches using tools such as pFMEA, risk ranking, and criticality assessments ...

ezCater, Inc

Staff GRC Engineer (Remote)

Boston, MA · On-site +1

What You Have: * 8+ experience in security GRC, compliance, risk, or security program work in a ... or vision insurance). ezCater does not sponsor applicants for work visas or legal permanent ...

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All JobsInsurance Risk Engineer JobsRemote Insurance Risk Engineer JobsRemote Insurance Risk Engineer Jobs in Boston, MA

Remote Insurance Risk Engineer information

See Boston, MA salary details

$49.4K

$101.2K

$147.2K

How much do remote insurance risk engineer jobs pay per year?

As of Jul 22, 2026, the average yearly pay for remote insurance risk engineer in Boston, MA is $101,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $128,200.00 per year, depending on experience, location, and employer.

What is a Remote Insurance Risk Engineer?

A Remote Insurance Risk Engineer is a professional who evaluates and analyzes potential risks for insurance clients, typically working from a remote location rather than on-site. Their main responsibilities include assessing properties, operations, and processes to identify hazards, recommending ways to minimize risks, and helping underwriters make informed decisions about policy coverage. They often use virtual tools, teleconferencing, and digital reports to perform their work efficiently from a distance. This role requires strong analytical skills, knowledge of safety regulations, and excellent communication abilities.

What are the key skills and qualifications needed to thrive as a Remote Insurance Risk Engineer, and why are they important?

To thrive as a Remote Insurance Risk Engineer, you need a background in engineering or risk management, strong analytical abilities, and knowledge of property and casualty insurance principles. Familiarity with risk assessment tools, loss control software, and relevant certifications such as ARM (Associate in Risk Management) are typically required. Excellent communication, self-motivation, and problem-solving skills are essential for collaborating with clients and working independently. These skills ensure accurate risk evaluations, effective client interactions, and the delivery of valuable recommendations to mitigate potential losses.

What is the difference between Remote Insurance Risk Engineer vs Remote Underwriter?

AspectRemote Insurance Risk EngineerRemote Underwriter
Required CredentialsRisk assessment certifications, actuarial knowledgeUnderwriting certifications, insurance licenses
Work EnvironmentAnalyzing data, assessing risks, collaborating remotelyReviewing applications, making coverage decisions remotely
Employer & Industry UsageInsurance companies, risk consulting firmsInsurance carriers, brokerage firms

Both roles involve remote work within the insurance industry, focusing on risk and policy decisions. While Remote Insurance Risk Engineers analyze and assess risks using data and technical skills, Remote Underwriters evaluate applications to determine coverage and premiums. Understanding these differences helps job seekers identify the right role based on their skills and certifications.

How does a Remote Insurance Risk Engineer effectively collaborate with underwriters and clients despite working remotely?

As a Remote Insurance Risk Engineer, collaboration with underwriters and clients typically occurs through virtual meetings, detailed risk assessment reports, and regular communication via email or phone. Engineers are responsible for conducting virtual or on-site inspections, documenting their findings, and providing actionable recommendations to underwriters to help them assess risk accurately. Building strong relationships and maintaining clear, prompt communication are essential, as is being proactive in addressing client questions or concerns. Most organizations provide digital tools and platforms to facilitate seamless teamwork across different locations.
What are popular job titles related to Remote Insurance Risk Engineer jobs in Boston, MA? For Remote Insurance Risk Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Risk Engineer jobs in Boston, MA look for? The top searched job categories for Remote Insurance Risk Engineer jobs in Boston, MA are:
Remote Insurance Risk Engineer jobs near you

Remote QA Engineer (AI/ML Focus)

Special Projects Engineering LLC

Boston, MA • Remote

Full-time

Medical, Dental, Vision

Posted 29 days ago

Job description

bout Special Projects Engineering LLC

Special Projects Engineering is a small, elite team based in Seattle tackling complex, high-impact problems using advanced AI and automation. We work across domains like autonomous systems, predictive infrastructure, synthetic biology, and next-gen defense tech. When something hasn’t been done before, we don’t shy away — we build it.

What You’ll Do

As a QA Engineer focused on ML/AI systems, your mission is to ensure the reliability, accuracy, and stability of intelligent systems that operate in messy, real-world environments. You’ll design robust testing frameworks and evaluation pipelines to validate everything from perception models to full-stack ML deployments.

Responsibilities:

  • Develop and maintain automated test suites for machine learning pipelines and AI-enabled systems

  • Create testing strategies for models handling visual, audio, sensor, and textual data

  • Validate data inputs, model outputs, performance benchmarks, and edge-case behavior

  • Build tools for continuous integration and regression testing across ML components

  • Work with ML engineers to define evaluation metrics and acceptable thresholds

  • Help ensure models are safe, stable, and robust before deployment

  • Identify gaps in test coverage and build test plans that scale with the codebase

What We’re Looking For

  • 3+ years in software QA, test automation, or related role

  • Hands-on experience testing ML models or AI systems in production environments

  • Strong Python skills; bonus if you’ve worked with PyTorch, TensorFlow, or JAX

  • Familiarity with ML lifecycle and model validation techniques

  • Experience with CI/CD pipelines, test frameworks, and debugging tools

  • Detail-oriented mindset with strong instincts for edge cases and failure modes

  • Bonus: background in data validation, simulation environments, or robotics

Why Join Us

  • Remote first company

  • Competitive salary and equity

  • Flexible hours and remote-friendly culture

  • Full health, dental, and vision insurance

  • High-end GPU hardware and compute resources

  • Work on real-world AI systems with a high-caliber team

  • Fast-moving environment where your work directly impacts production

If you care about building AI that actually works, works well, and works safely — we’d love to talk.