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Computer System Validation Remote Jobs in Massachusetts

Haley Ward

Architectural CAD Technician

Northborough, MA · On-site +1

$26.78 - $31.42/hr

Apply established standards, codes, and building systems to drawing production * Coordinate ... remote work considered based on business and operational needs. The estimated range for this role ...

Shield AI

Principal Fuel Systems Engineer (X-BAT)

Boston, MA · On-site +1

$209K - $313K/yr

... validation testing. * U.S. Citizenship required. * For remote candidates - ability to travel up to ... Proven success leading complex fuel system programs from concept through flight test. * Knowledge ...

Turnblock.io

Technical Lead Remote (Web3)

Boston, MA · Remote

$100K - $250K/yr

Define and deliver product offerings that maximize profit validator gains. * Collaborate with ... systems. * Blockchain Experience: 3+ years working in blockchain engineering. * Technical Skills:

Merlin Labs

Provide escalation support during integration and validation events 4. Cross-Functional ... Support flight test preparation and remote integration events * Interface with Systems, Autonomy ...

Globalchannelmanagement

Remote AI Architect

Boston, MA · Remote

$90 - $92/hr

Bachelor's degree in Computer Science, Engineering, or a related technical field. * 5+ years of ... Background in RAG systems, model fine tuning, embeddings, vector storage, and retrieval ...

Nasuni

Senior Software Engineer - File System

Boston, MA · On-site +1

$133K - $175K/yr

... testing, and analysis while validating outputs through strong engineering judgment ... Strong written communication skills for design docs, reviews, remote collaboration, and operational ...

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Computer System Validation Remote information

What is computer system validation (CSV) in a remote job context?

Computer system validation (CSV) is a process used to ensure that IT systems and software used in regulated industries (such as pharmaceuticals or healthcare) work as intended and comply with relevant regulations. In a remote job context, CSV professionals perform validation tasks, documentation, and system testing from an offsite location, often collaborating with teams via digital tools. This remote work typically involves reviewing validation protocols, writing reports, and ensuring compliance with standards like FDA 21 CFR Part 11, all while leveraging secure online platforms to communicate and manage documentation.

What are the key skills and qualifications needed to thrive as a Computer System Validation (CSV) professional working remotely, and why are they important?

To excel as a Computer System Validation Remote professional, you need a solid understanding of regulatory compliance (such as FDA 21 CFR Part 11), risk management, and validation lifecycle processes, often supported by a degree in computer science, engineering, or a related field. Familiarity with validation software, quality management systems (QMS), and documentation tools is typically required, along with certifications like GAMP or Six Sigma being advantageous. Strong attention to detail, analytical thinking, and effective remote communication are crucial soft skills for this role. These competencies ensure validated systems meet compliance standards, minimize risks, and support seamless collaboration in a regulated, distributed environment.

What is the difference between Computer System Validation Remote vs Computer System Validation on-site?

AspectComputer System Validation RemoteComputer System Validation on-site
Work EnvironmentPerforms validation tasks remotely, often from home or a different location from the client site.Works directly at the client or company site, conducting validation activities in person.
Required CredentialsTypically requires certifications like GxP, 21 CFR Part 11, and validation experience, applicable in both settings.Same certifications as remote roles, with additional familiarity with on-site equipment and facilities.
Industry UsageCommon in industries like pharmaceuticals and biotech where remote oversight is feasible.Traditional in regulated industries requiring on-site validation activities.

Both roles require similar certifications and industry knowledge, but the main difference lies in the work environment—remote versus on-site. Remote validation offers flexibility, while on-site validation involves direct interaction at the facility.

What are some common challenges faced by Computer System Validation professionals working remotely, and how can they be addressed?

Remote Computer System Validation (CSV) professionals often encounter challenges such as coordinating validation activities across distributed teams and ensuring secure access to sensitive documentation. Effective communication and use of collaborative tools are crucial for managing documentation reviews, test execution, and issue resolution. Establishing clear validation protocols and regular virtual check-ins with cross-functional teams can help maintain compliance and project momentum. Additionally, leveraging secure cloud-based validation platforms can streamline approvals and maintain data integrity while working remotely.
What are the most commonly searched types of Computer System Validation jobs in Massachusetts? The most popular types of Computer System Validation jobs in Massachusetts are:
What are popular job titles related to Computer System Validation Remote jobs in Massachusetts? For Computer System Validation Remote jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Computer System Validation Remote jobs in Massachusetts look for? The top searched job categories for Computer System Validation Remote jobs in Massachusetts are:
What cities in Massachusetts are hiring for Computer System Validation Remote jobs? Cities in Massachusetts with the most Computer System Validation Remote job openings:
Computer System Validation Remote jobs near you

Remote QA Engineer (AI/ML Focus)

Special Projects Engineering LLC

Boston, MA • Remote

Full-time

Posted 14 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.