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Ai Product Qa Jobs (NOW HIRING)

Nestle

Product Quality Assurance Coordinator

Sudbury, MA · On-site

$55K - $60K/yr

The Product Quality Assurance Coordinator (Vitamins/Supplements) will facilitate and coordinate the sending out of our manufacturing Facility's testing samples, as well as ensuring timely receipt of ...

ABB

Product Quality Assurance Specialist

Florence, SC · On-site

Quality Manager As the Product Quality Assurance Specialist, you will be responsible verifying the quality of incoming raw materials, parts, or components, performing thorough inspections upon ...

ABB

Product Quality Assurance Specialist

Florence, SC · On-site

Quality Manager __ As the Product Quality Assurance Specialist, you will be responsible verifying the quality of incoming raw materials, parts, or components, performing thorough inspections upon ...

ABB

Product Quality Assurance Specialist

Florence, SC · On-site

Quality Manager As the Product Quality Assurance Specialist, you will be responsible verifying the quality of incoming raw materials, parts, or components, performing thorough inspections upon ...

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How much do ai product qa jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for ai product qa in the United States is $40.87, according to ZipRecruiter salary data. Most workers in this role earn between $39.66 and $42.07 per hour, depending on experience, location, and employer.

What is an AI product QA?

An AI Product QA (Quality Assurance) is a professional responsible for ensuring the quality and functionality of products that use artificial intelligence. They design and implement test plans, identify bugs or issues, and collaborate with developers to improve AI models and applications. Their work helps ensure that AI products meet user expectations, function as intended, and comply with industry standards. AI Product QAs often use a mix of manual and automated testing techniques tailored to the unique challenges of AI systems.

What are some common challenges faced by AI product QA professionals when testing machine learning features?

AI Product QA professionals often encounter challenges such as validating unpredictable outputs from machine learning models, ensuring reproducibility of test results, and keeping up with frequent model updates. Unlike traditional software QA, testing AI products requires understanding of data variability and the nuances of model behavior. Collaborating closely with data scientists and developers is essential to develop robust test cases and to address issues related to model bias or performance across different datasets.

What are the key skills and qualifications needed to thrive as an AI product QA, and why are they important?

To thrive as an AI Product QA, you need a solid understanding of software testing methodologies, machine learning concepts, and quality assurance best practices, often backed by a degree in computer science or a related field. Familiarity with automated testing frameworks, bug tracking systems, and tools like Python, TensorFlow, or JIRA is typically required. Strong analytical thinking, attention to detail, and effective communication are key soft skills that help identify issues and collaborate with cross-functional teams. These skills ensure the delivery of reliable, high-performing AI products by catching defects early and facilitating seamless team coordination.

What are popular job titles related to Ai Product Qa jobs?

For Ai Product Qa jobs, the most frequently searched job titles are:

Infographic showing various Ai Product Qa job openings in the United States as of July 2026, with employment types broken down into 67% Full Time, 22% Part Time, and 11% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $85,000 per year, or $40.9 per hour.

QA Engineering Lead, Product Quality Assurance

Menlo Park, CA • On-site

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$163K/yr

Full-time

Posted 22 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

Meta is seeking an experienced Quality Engineering Lead to shape the quality strategy for our core and business products (Instagram, Facebook, Meta AI, WhatsApp, Ads, Privacy). In this role, you will set the vision for product quality across engineering organizations and drive it through complex, ambiguous programs that span multiple teams and geographic locations, for products that serve billions of people worldwide. You will operate as a force multiplier, partnering with engineering, infrastructure, and product leaders to raise the bar on quality at Meta's scale, and influencing senior stakeholders across regions on high-impact decisions. If you enjoy solving quality challenges on products built with cutting-edge technology, we'd like to hear from you.
QA Engineering Lead, Product Quality Assurance Responsibilities:
  • Define and own the multi-year product quality strategy across one or more product organizations, influencing direction beyond your immediate team
  • Lead complex, cross-functional quality programs that span multiple products and geographic locations, driving alignment across time zones, partners, and priorities
  • Set the technical direction for the test strategy on business-critical, high-ambiguity initiatives to ensure product correctness and reliability before launch
  • Partner with engineering and infrastructure teams to drive scalable automation strategies that prevent regressions and ensure long-term product reliability
  • Identify systemic quality gaps and opportunities, and drive organization-wide adoption of processes, tooling, and a quality-driven engineering culture
  • Establish quality metrics and standards that measure test effectiveness, efficiency, and overall product quality
  • Assess non-functional product quality (including i18n, l10n, a11y, performance, and stress) in partnership with specialized teams and translate findings into directions for product teams
  • Mentor and grow quality and test engineers, raising the bar on quality practices across the organization
  • Engage and influence stakeholders at all levels, including senior leadership across geographies, to secure buy-in on critical quality decisions

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 10+ years of quality engineering and/or test engineering experience
  • Experience leading quality strategies and complex programs across multiple teams and geographic locations, including distributed onsite and offshore teams
  • Experience with QA processes and methodologies, including planning, designing, and executing tests, and knowledge of performance and stress testing
  • Experience in implementing and maintaining quality test automation for both mobile and web applications
  • Experience coding in Python, PHP, Java, C/C++, or an equivalent programming language

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience defining scope, setting priorities, and driving progress on projects with incomplete or evolving requirements
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience with industry-standard test automation tools and frameworks
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience driving organization-wide quality initiatives and influencing engineering organizations at a large scale
  • Experience communicating with technical and non-technical stakeholders across all levels of the organization, including executive communications
  • Experience working across multiple cross-functional engineering teams globally, spanning time zones and cultures
  • Experiences leveraging data to improve product quality and drive measurable outcomes

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$163,000/year to $224,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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