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Remote Validation Engineer Jobs in California (NOW HIRING)

YO AI Labs

DevOps Engineer - Remote

Palo Alto, CA · Remote

$50 - $150/hr

... Engineer Role Type: Contractor Location: Remote Job Overview We are seeking experienced DevOps ... Create working reference solutions with clear setup and validation steps. * Review AI-generated ...

YO AI Labs

Civil Engineer Expert - Remote

Los Angeles, CA · Remote

$50 - $100/hr

Remote Job Overview We are seeking experienced Civil Engineers to contribute to a high-impact ... Create and validate realistic CSVs, PDFs, spreadsheets, and engineering datasets . * Collaborate ...

YO AI Labs

Civil Engineer Expert - Remote

San Jose, CA · Remote

$50 - $100/hr

Remote Job Overview We are seeking experienced Civil Engineers to contribute to a high-impact ... Create and validate realistic CSVs, PDFs, spreadsheets, and engineering datasets . * Collaborate ...

YO AI Labs

Civil Engineer Expert - Remote

Palo Alto, CA · Remote

$50 - $100/hr

Remote Job Overview We are seeking experienced Civil Engineers to contribute to a high-impact ... Create and validate realistic CSVs, PDFs, spreadsheets, and engineering datasets . * Collaborate ...

YO AI Labs

DevOps Expert - Remote

San Francisco, CA · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform ...

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All JobsValidation Engineer JobsRemote Validation Engineer JobsRemote Validation Engineer Jobs in California

Remote Validation Engineer information

See California salary details

$22

$51

$77

How much do remote validation engineer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote validation engineer in California is $51.32, according to ZipRecruiter salary data. Most workers in this role earn between $38.89 and $62.40 per hour, depending on experience, location, and employer.

What is a remote validation engineer?

A Remote Validation Engineer is responsible for testing and verifying that products, systems, or software meet required specifications and function correctly. They develop test plans, run simulations, analyze data, and document results—all while working remotely. This role is common in industries like automotive, semiconductor, and software development, ensuring quality and compliance with standards. Strong technical skills, attention to detail, and proficiency with validation tools are essential.

What are the typical day-to-day responsibilities of a remote validation engineer?

Remote Validation Engineers are responsible for developing and executing test plans, analyzing results, and documenting findings to ensure products meet required standards and specifications. They often collaborate virtually with design, development, and quality teams to identify issues and recommend improvements. Daily tasks may include running automated tests, preparing validation reports, participating in team meetings, and troubleshooting system behaviors. Adapting to shifting project requirements and effectively communicating in a remote setting are also integral parts of the role.

What are the key skills and qualifications needed to thrive as a remote validation engineer, and why are they important?

To thrive as a Remote Validation Engineer, you need a strong background in engineering or computer science, expertise in validation protocols, and experience with testing methodologies. Familiarity with validation tools such as simulation software, automated test platforms, and knowledge of industry compliance standards (e.g., ISO, FDA, or automotive standards) is typically required, and certifications like ISTQB can be beneficial. Excellent problem-solving skills, attention to detail, and strong written and verbal communication are important for collaborating across distributed teams. These skills ensure the effectiveness and reliability of complex products or systems while supporting seamless teamwork in a remote work environment.

Are remote validation engineers in demand?

Remote validation engineers are in demand due to the increasing need for quality assurance and compliance in various industries, especially in technology and manufacturing. They often require skills in testing tools, automation, and industry standards, making remote work a viable option for qualified professionals.

Do remote validation engineers make good money?

Remote validation engineers typically earn competitive salaries that vary based on experience, location, and industry. They often require skills in testing, automation tools, and quality assurance, which can influence earning potential. Overall, the role can offer a solid income, especially with specialized skills and certifications.

What are the most commonly searched types of Validation Engineer jobs in California?

The most popular types of Validation Engineer jobs in California are:

What are popular job titles related to Remote Validation Engineer jobs in California?

For Remote Validation Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Validation Engineer jobs in California look for?

The top searched job categories for Remote Validation Engineer jobs in California are:

What cities in California are hiring for Remote Validation Engineer jobs?

Cities in California with the most Remote Validation Engineer job openings:

Remote Validation Engineer jobs near you
Infographic showing various Remote Validation Engineer job openings in California as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $106,736 per year, or $51.3 per hour.

DevOps Engineer - Remote

YO AI Labs

Palo Alto, CA • Remote

$50 - $150/hr

Full-time

Posted 11 days ago

Job description

DevOps Engineer

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced DevOps Engineers to create and evaluate production-style infrastructure and automation tasks for next-generation AI systems. You will work on CI/CD, Kubernetes, infrastructure as code, Linux, and cloud environments while ensuring solutions are accurate, reproducible, and technically sound.

No prior AI experience is required—your DevOps expertise and engineering judgment are what matter most.

Key Responsibilities
  • Design realistic DevOps tasks covering CI/CD, containers, Kubernetes, IaC, monitoring, and incident response.
  • Create working reference solutions with clear setup and validation steps.
  • Review AI-generated solutions, identify failures, and provide precise technical corrections.
  • Maintain high standards for correctness, reliability, and reproducibility.
  • Provide structured feedback to improve AI-generated DevOps workflows.
Required Skills
  • Kubernetes
  • Terraform
  • CI/CD
  • Python
  • Linux
  • Docker
  • Git
  • Cloud Platforms
  • Infrastructure as Code
Required Qualifications
  • 3+ years of professional experience in DevOps, SRE, Platform, or Infrastructure Engineering.
  • Strong coding skills in Python, Go, Bash, or TypeScript.
  • Hands-on experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins.
  • Practical experience with Docker, Kubernetes, and at least one major cloud platform.
  • Infrastructure as Code experience with Terraform, Ansible, Pulumi, or CloudFormation.
  • Advanced Linux and Git skills.
  • Strong written and spoken English.
  • Availability of at least 20 hours per week.
Preferred Qualifications
  • Experience with Prometheus, Grafana, Datadog, or OpenTelemetry.
  • Background in security, secrets management, or platform reliability.
  • Open-source contributions or technical writing experience.
  • Previous experience with AI training data or model evaluation.