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Quality Assurance Automation Ai Jobs (NOW HIRING)

Job Title : QA Automation Engineer Location : Greenville, NC Department ... AI Studio Reports To : Director Status : Exempt WHO WE ARE : We are Valicy. We make games. We also ...

This role is primarily focused on QA automation, software testing, and ensuring the quality of ... The role also requires a strong interest in using modern AI tools and AI coding assistants to ...

This role is primarily focused on QA automation, software testing, and ensuring the quality of ... The role also requires a strong interest in using modern AI tools and AI coding assistants to ...

Position Title * QA Automation - Jersey City NJ Position Responsibilities QA Automation Jersey City NJ (3 days WFO , 2 days WFH) 3-6 years of experience in QA Automation. 2 rounds of interview, 1 ...

Experience working with AI-powered QA tooling. * Experience with TestRail or similar test ... Experience building automation programs within Agile development environments. About Trella Health ...

QA Automation Plano TX (3 days WFO, 2 days WFH) 3-6 years of experience in QA Automation. 2 rounds of interview, 1 Zoom, 1 in person. Prefer afternoon interviews, looking to fill ASAP. Look for ...

7years to 12 years of experienced and highly skilled QA Automation Tester to join our dynamic team ... Agentic AI experience. (h) Experience in Application Testing - Functional, Smoke ,Sanity ...

Tittle: QA Automation Tester Location: San Francisco, CA/ Chicago, IL • 60% is Device Testing and 40% is LLM / GenAI Validation (AI Testing) • Test automation experience is non-negotiable ...

Drive AI-assisted test generation, automation conversion, and resilient/self-healing automation to reduce maintenance and flakiness. * Establish continuous quality evaluation, monitoring, and ...

Drive AI-assisted test generation, automation conversion, and resilient/self-healing automation to reduce maintenance and flakiness. * Establish continuous quality evaluation, monitoring, and ...

Role: QA Automation Location - Onsite in Pittsburgh, PA Required skills: 1. Banking Industry Knowledge 2. Combinatorial Test Design - IGNITE, Hexawise 3. Automation tools - Selenium frameworks ...

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Quality Assurance Automation Ai information

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How much do quality assurance automation ai jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for quality assurance automation ai in the United States is $50.54, according to ZipRecruiter salary data. Most workers in this role earn between $44.71 and $57.69 per hour, depending on experience, location, and employer.

Will AI affect quality assurance automation AI jobs?

AI is transforming quality assurance automation roles by enabling more efficient testing processes and reducing manual effort. While some routine tasks may be automated, QA automation professionals will need to develop skills in AI tools, scripting, and data analysis to stay relevant in the evolving job market.

What is the difference between Quality Assurance Automation Ai vs Quality Assurance Tester?

AspectQuality Assurance Automation AiQuality Assurance Tester
CredentialsKnowledge of automation tools, scripting, programming languagesUnderstanding of testing processes, manual testing skills
Work EnvironmentPrimarily uses automation software, collaborates with developersPerforms manual testing, reports bugs, interacts with QA teams
Industry UsageCommon in software development, tech companiesWidespread across various industries including tech, finance, healthcare

While both roles focus on ensuring software quality, Quality Assurance Automation Ai specializes in developing and maintaining automated testing scripts, reducing manual effort. In contrast, Quality Assurance Testers primarily perform manual testing to identify issues. Both roles are essential in the QA process but differ in tools, skills, and daily tasks.

Is AI automation a high paying job?

AI automation roles, including positions like Quality Assurance Automation AI, tend to offer competitive salaries due to the specialized skills required in programming, scripting, and understanding AI tools. Salaries vary based on experience, location, and industry, but these jobs generally provide higher pay compared to many entry-level positions in tech. Advanced knowledge of automation frameworks and AI technologies can further increase earning potential.

Is quality assurance automation AI a good career?

Quality assurance automation AI is a growing field that involves developing and maintaining automated testing systems using AI and machine learning tools. It requires skills in programming, testing frameworks, and understanding AI models, making it a valuable and in-demand career with opportunities for advancement. The role often involves collaboration with development teams and continuous learning to keep up with evolving technologies.
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Infographic showing various Quality Assurance Automation Ai job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 4% Contract, and 1% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $105,126 per year, or $50.5 per hour.

QA Lead - Automation & AI

Inficare Technologies

Irving, TX • On-site

Full-time

Re-posted 13 hours ago


Job description

Job Title: QA Lead - Automation & AI
Location: Irving, TX (Onsite)
Job Type: Contract (Long-term)
Experience: 8+ years
Job Overview
Key Responsibilities
  • Design, build, and maintain scalable test automation frameworks
  • Execute and manage test cases using industry-standard tools and frameworks
  • Integrate automated tests into CI/CD pipelines
  • Collaborate with development and product teams in an Agile environment
  • Explore and apply AI-driven approaches to quality assurance
Required Skills
  • 10+ years in QA covering automation and manual testing
  • Hands-on experience with Playwright, BrowserStack, Katalon, Selenium, Cucumber, TestNG, JUnit
  • Strong programming skills in Java or .NET with solid OOP fundamentals
  • Experience building automation frameworks from the ground up
  • Knowledge of CI/CD tools including Jenkins, Azure DevOps (ADO), and AWS
  • Familiarity with SQL, JavaScript/TypeScript, and Groovy
  • Strong debugging and communication skills
  • Experience working in Agile environments
Preferred Skills
  • Exposure to AI in QA is highly preferred
  • Flexibility to work in overlapping hours with US-based teams