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Computer System Validation Remote Jobs in Seattle, WA

HMG Careers

Remote Customer Service and Sales

Kent, WA · Remote

$69K/yr

Remote Insurance Representative | Flexible Schedule | Commission-Based This position offers ... Laptop or desktop computer with a working camera * Insurance license required or willingness to ...

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Computer System Validation Remote information

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$12

$61

$97

How much do computer system validation remote jobs pay per hour?

As of May 31, 2026, the average hourly pay for computer system validation remote in Seattle, WA is $61.82, according to ZipRecruiter salary data. Most workers in this role earn between $47.60 and $73.32 per hour, depending on experience, location, and employer.

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 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 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 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 the most commonly searched types of Computer System Validation jobs in Seattle, WA? The most popular types of Computer System Validation jobs in Seattle, WA are:
What are popular job titles related to Computer System Validation Remote jobs in Seattle, WA? For Computer System Validation Remote jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Computer System Validation Remote jobs in Seattle, WA look for? The top searched job categories for Computer System Validation Remote jobs in Seattle, WA are:
Computer System Validation Remote jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Seattle, WA • Remote

Other

Posted 9 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply