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Manager Ai Quality Assurance 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 ...

New

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 ...

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 ...

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 ...

New

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 ...

Envestnet

Lead AI Quality Assurance Engineer

Boston, MA · 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 ...

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Manager Ai Quality Assurance information

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$38K

$118.1K

$179K

How much do manager ai quality assurance jobs pay per year?

As of Aug 21, 2026, the average yearly pay for manager ai quality assurance 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 is the difference between Manager Ai Quality Assurance vs AI Quality Assurance Specialist?

AspectManager Ai Quality AssuranceAI Quality Assurance Specialist
CredentialsBachelor's or higher in Computer Science, QA, or related field; often leadership experienceTypically requires a Bachelor's in Computer Science, QA, or related field; certifications like ISTQB may be preferred
Work EnvironmentOversees teams, manages projects, collaborates with multiple departmentsFocuses on testing AI models, analyzing data, executing test plans
Industry UsageUsed across tech, finance, healthcare industries for overseeing AI quality processesCommonly employed in AI development teams, research labs, and tech companies

The Manager Ai Quality Assurance role involves overseeing QA teams and managing AI quality projects, while the AI Quality Assurance Specialist focuses on executing testing and analyzing AI models. Both roles require technical knowledge, but the manager has additional leadership responsibilities.

More about Manager Ai Quality Assurance jobs

What cities are hiring for Manager Ai Quality Assurance jobs?

Cities with the most Manager Ai Quality Assurance job openings:

What states have the most Manager Ai Quality Assurance jobs?

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Manager Ai Quality Assurance jobs near you
Infographic showing various Manager Ai Quality Assurance job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 84% In-person, 5% Hybrid, and 11% Remote job distribution, with an average salary of $118,074 per year, or $56.8 per hour.

AI QA Engineer

Keypixel Software Solutions

Denver, CO • On-site

Other

Posted yesterday

New

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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