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Remote Validation Engineer Jobs in Frisco, TX (NOW HIRING)

DevOps Expert - Remote

Dallas, TX · 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 ...

New

AI/ML Engineer - Remote

Dallas, TX · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

New

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills * Artificial Intelligence (AI ... Model Training, Validation & Evaluation * Statistics & ML Algorithms * MLOps * CI/CD Pipelines

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills Artificial Intelligence (AI ... Training, Validation & Evaluation Statistics & ML Algorithms MLOps CI/CD Pipelines Docker ...

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 ...

New

Remote As a Salesforce Software Engineer, you will play a key role in shaping how our U.S ... Coordinate QA and UAT testing activities to verify and validate new functionality before release.

Showing results 21-40

Remote Validation Engineer information

See Frisco, TX salary details

$21

$48

$73

How much do remote validation engineer jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for remote validation engineer in Frisco, TX is $48.67, according to ZipRecruiter salary data. Most workers in this role earn between $36.88 and $59.18 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 Frisco, TX?

The most popular types of Validation Engineer jobs in Frisco, TX are:

What are popular job titles related to Remote Validation Engineer jobs in Frisco, TX?

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

What job categories do people searching Remote Validation Engineer jobs in Frisco, TX look for?

The top searched job categories for Remote Validation Engineer jobs in Frisco, TX are:

What cities near Frisco, TX are hiring for Remote Validation Engineer jobs?

Cities near Frisco, TX with the most Remote Validation Engineer job openings:

Infographic showing various Remote Validation Engineer job openings in Frisco, TX as of August 2026, with employment types broken down into 6% Internship, 71% Full Time, and 23% Contract. Highlights an 100% Remote job distribution, with an average salary of $101,224 per year, or $48.7 per hour.

DevOps Expert - Remote

Dallas, TX • Remote

$30 - $80/hr

Full-time

Posted 3 days ago

New


Job description

Developer & Infrastructure Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards.

No prior AI experience is required—your technical expertise and infrastructure knowledge are what matter most.

Key Responsibilities
  • Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering.
  • Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability.
  • Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments.
  • Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA.
  • Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365.
  • Identify technical errors, security or reliability concerns, and workflow gaps.
  • Document findings and provide clear, actionable feedback.
  • Recommend improvements based on real-world engineering practices and industry standards.
  • Collaborate remotely with project stakeholders through written evaluations and virtual discussions.
Required Skills
  • Azure DevOps
  • Cloud Infrastructure
  • Site Reliability Engineering (SRE)
  • Platform Engineering
  • AWS / Azure / GCP
  • Kubernetes / Docker
  • Terraform
  • CI/CD
  • GitHub / GitLab / JIRA
  • Observability
  • ChatGPT Work
  • Claude Code
  • Claude Cowork
  • AI Agents
  • Workplace Connectors
Preferred Qualifications
  • Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering.
  • Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools.
  • Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA.
  • Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows.
  • Strong ability to evaluate technical processes and provide actionable feedback.
  • Excellent written and verbal communication skills.
  • Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.