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Manager Ai Qa Jobs (NOW HIRING)

Keypixel Software Solutions

AI QA Engineer

Denver, CO · On-site

AI QA EngineerIntroduction The AI QA Engineer will play a crucial role in ensuring the quality and reliability of AI systems and applications within our organization. This individual will be ...

Saransh Inc

Conversational AI QA Lead

Irving, TX · On-site

- Conversational AI QA Lead - chatbots Locations: Irving/Dallas, Texas FULL TIME Day to Day job ... Collaborate with product management, engineering, and operations teams to define quality metrics ...

American Society for Quality

$110 - $170/hr

Experience testing REST APIs, authentication flows, and token management. * Experience integrating ... QA Automation or Quality Engineering. * Experience implementing AI-powered or Agentic Testing ...

Envestnet

Lead AI Quality Assurance Engineer

Berwyn, PA · Hybrid

Combines traditional QA practices with AI / ML validation techniques to test data integrity, model ... Works with engineering, data science, product management, cybersecurity, legal and risk teams to ...

Infosys

AI Quality Assurance Consultant

Jersey City, NJ · On-site

$82K - $126K/yr

... software quality standards • Develop user training programs, documentation, and support ... With over four decades of experience in managing the systems and workings of global enterprises, we ...

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How much do manager ai qa jobs pay per year?

As of Aug 24, 2026, the average yearly pay for manager ai qa in the United States is $118,074.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $144,500.00 per year, depending on experience, location, and employer.

What does a Manager AI QA do?

A Manager AI QA (Artificial Intelligence Quality Assurance) oversees the testing and quality assurance processes for AI-based products and solutions. They lead teams responsible for identifying defects, ensuring model accuracy, and validating performance metrics. Their role includes developing QA protocols specific to AI, coordinating with data scientists and engineers, and implementing best practices to maintain high-quality AI systems. They also stay updated on emerging AI testing methodologies and tools to ensure projects meet industry standards.

What are the key skills and qualifications needed to thrive as a Manager AI QA?

To thrive as a Manager AI QA, you need a strong background in software quality assurance, AI/ML concepts, and leadership, typically supported by a degree in computer science or related fields. Familiarity with QA automation tools (like Selenium or Appium), AI testing frameworks, and experience with cloud platforms and version control systems is important. Exceptional communication, problem-solving skills, and the ability to lead cross-functional teams set standout candidates apart. These skills ensure rigorous testing of AI solutions, drive process improvements, and help teams deliver robust, reliable AI products.

How does a Manager AI QA typically collaborate with data scientists and software engineers during the development lifecycle?

A Manager AI QA works closely with both data scientists and software engineers to ensure the quality and reliability of AI models and systems. During development, they help define testing strategies, review model validation procedures, and facilitate communication across teams to address potential issues early. They often coordinate the creation of test datasets, oversee automated testing pipelines, and provide feedback to improve model robustness. This collaborative environment helps ensure that AI solutions meet both functional and ethical standards before deployment.
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Infographic showing various Manager Ai Qa job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $118,074 per year, or $56.8 per hour.

AI QA Engineer

Denver, CO • On-site

Keypixel Software Solutions
Recruiting and Staffing Services • 11 - 50 employees
Learn more about Keypixel Software Solutionsexternal

Other

Posted 4 days ago

Job description

AI QA EngineerIntroduction

The AI QA Engineer will play a crucial role in ensuring the quality and reliability of AI systems and applications within our organization. This individual will be responsible for designing and implementing test automation strategies to validate AI algorithms, models, and systems.

Responsibilities
  • Develop and execute test plans, test cases, and test scripts for AI algorithms and models
  • Implement automated testing frameworks for AI applications
  • Collaborate with data scientists and developers to understand AI algorithms and models
  • Identify and report bugs, issues, and defects in AI systems
  • Conduct performance testing and scalability testing for AI applications
  • Ensure compliance with quality standards and regulatory requirements
  • Provide technical expertise and guidance on QA best practices for AI projects
  • Continuously improve testing processes and methodologies for AI systems
RequirementsRequired Skills
  • Experience in Test Automation
  • Knowledge of AI/GenAI & LLM Testing
  • Experience in AI QA Strategy & Quality Governance
  • Proficiency in Python & SQL
  • Experience in API Testing
  • Familiarity with Cloud Applications
  • Minimum of 10 years in QA/Quality Engineering
Preferred Skills
  • Experience with CI/CD pipelines for AI applications
  • Knowledge of Machine Learning and Deep Learning concepts
  • Certifications in QA or AI-related fields
  • Experience in working with large-scale AI projects

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