Role: Lead Engineer - II_AI QA Manual Testing Location: Denver, CO(Hybrid) Key Responsibilities: Define overall AI QA strategy Lead testing efforts across multiple AI initiatives Mentor other QA ...
Role: Lead Engineer - II_AI QA Manual Testing Location: Denver, CO(Hybrid) Key Responsibilities: Define overall AI QA strategy Lead testing efforts across multiple AI initiatives Mentor other QA ...
Lead Engineer - II_AI QA Manual Testing Location: Denver, CO(Hybrid) Key Responsibilities: * Define overall AI QA strategy * Lead testing efforts across multiple AI initiatives * Mentor other QA ...
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Lead Engineer - II_AI QA Manual Testing Location: Denver, CO(Hybrid) Key Responsibilities: * Define overall AI QA strategy * Lead testing efforts across multiple AI initiatives * Mentor other QA ...
Conversational AI QA Lead
Irving, TX · On-site
- Conversational AI QA Lead - chatbots Locations: Irving/Dallas, Texas FULL TIME Day to Day job Duties: * Develop and implement conversational AI solutions: Design, build, and deploy chatbots and ...
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Conversational AI QA Lead
Irving, TX · On-site
- Conversational AI QA Lead - chatbots Locations: Irving/Dallas, Texas FULL TIME Day to Day job Duties: * Develop and implement conversational AI solutions: Design, build, and deploy chatbots and ...
Based in Gaithersburg, US, this role sets the global agenda for AI in Quality Assurance, ensuring our use of AI within GMP-regulated and adjacent processes is ethical, transparent and inspection ...
Based in Gaithersburg, US, this role sets the global agenda for AI in Quality Assurance, ensuring our use of AI within GMP-regulated and adjacent processes is ethical, transparent and inspection ...
AI Quality Engineer / Lead
Chicago, IL · On-site
$74K - $95K/yr
Lead AI validation activities including functional testing, prompt validation, workflow testing, regression testing, release validation, runtime quality assurance, and production reliability support.
AI Quality Engineer / Lead
Chicago, IL · On-site
$74K - $95K/yr
Lead AI validation activities including functional testing, prompt validation, workflow testing, regression testing, release validation, runtime quality assurance, and production reliability support.
AI Quality Engineer / Lead
Chicago, IL · On-site
$74K - $95K/yr
Lead AI validation activities including functional testing, prompt validation, workflow testing, regression testing, release validation, runtime quality assurance, and production reliability support.
Quick apply
AI Quality Engineer / Lead
Chicago, IL · On-site
$74K - $95K/yr
Lead AI validation activities including functional testing, prompt validation, workflow testing, regression testing, release validation, runtime quality assurance, and production reliability support.
By integrating AI-driven insights, we enhance our ability to link strategy to execution, leverage ... software quality standards • Develop user training programs, documentation, and support ...
By integrating AI-driven insights, we enhance our ability to link strategy to execution, leverage ... software quality standards • Develop user training programs, documentation, and support ...
... software quality standards • Develop user training programs, documentation, and support ... We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of ...
... software quality standards • Develop user training programs, documentation, and support ... We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of ...
Senior AI Quality & Reliability Engineer
Edina, MN · On-site
$91K - $124K/yr
Lead AI validation activities including functional testing, prompt validation, workflow testing, regression testing, release validation, runtime quality assurance, and production reliability support.
Senior AI Quality & Reliability Engineer
Edina, MN · On-site
$91K - $124K/yr
Lead AI validation activities including functional testing, prompt validation, workflow testing, regression testing, release validation, runtime quality assurance, and production reliability support.
Combines traditional QA practices with AI / ML validation techniques to test data integrity, model performance, automation workflows and user outcomes. Works with engineering, data science, product ...
Combines traditional QA practices with AI / ML validation techniques to test data integrity, model performance, automation workflows and user outcomes. Works with engineering, data science, product ...
AI QA Engineer, AVP
Burlington, MA · On-site
Quality Assurance Engineer - AI Testing, Charles River Development/State Street Alpha Why this role is important to us The team you will be joining is responsible for advancing quality engineering ...
AI QA Engineer, AVP
Burlington, MA · On-site
Quality Assurance Engineer - AI Testing, Charles River Development/State Street Alpha Why this role is important to us The team you will be joining is responsible for advancing quality engineering ...
Senior AI Quality & Reliability Engineer
Chicago, IL · On-site
$91K - $123K/yr
Lead AI validation activities including functional testing, prompt validation, workflow testing, regression testing, release validation, runtime quality assurance, and production reliability support.
Senior AI Quality & Reliability Engineer
Chicago, IL · On-site
$91K - $123K/yr
Lead AI validation activities including functional testing, prompt validation, workflow testing, regression testing, release validation, runtime quality assurance, and production reliability support.
Senior AI Quality & Reliability Engineer
Minneapolis, MN · On-site
$92K - $125K/yr
Lead AI validation activities including functional testing, prompt validation, workflow testing, regression testing, release validation, runtime quality assurance, and production reliability support.
Senior AI Quality & Reliability Engineer
Minneapolis, MN · On-site
$92K - $125K/yr
Lead AI validation activities including functional testing, prompt validation, workflow testing, regression testing, release validation, runtime quality assurance, and production reliability support.
Combines traditional QA practices with AI / ML validation techniques to test data integrity, model performance, automation workflows and user outcomes. Works with engineering, data science, product ...
Combines traditional QA practices with AI / ML validation techniques to test data integrity, model performance, automation workflows and user outcomes. Works with engineering, data science, product ...
Combines traditional QA practices with AI / ML validation techniques to test data integrity, model performance, automation workflows and user outcomes. Works with engineering, data science, product ...
Combines traditional QA practices with AI / ML validation techniques to test data integrity, model performance, automation workflows and user outcomes. Works with engineering, data science, product ...
Senior AI Quality & Reliability Engineer
Irving, TX · On-site
$84K - $114K/yr
Lead AI validation activities including functional testing, prompt validation, workflow testing, regression testing, release validation, runtime quality assurance, and production reliability support.
Senior AI Quality & Reliability Engineer
Irving, TX · On-site
$84K - $114K/yr
Lead AI validation activities including functional testing, prompt validation, workflow testing, regression testing, release validation, runtime quality assurance, and production reliability support.
Senior AI Quality & Reliability Engineer
Irving, TX · On-site
$85K - $115K/yr
Lead AI validation activities including functional testing, prompt validation, workflow testing, regression testing, release validation, runtime quality assurance, and production reliability support.
Senior AI Quality & Reliability Engineer
Irving, TX · On-site
$85K - $115K/yr
Lead AI validation activities including functional testing, prompt validation, workflow testing, regression testing, release validation, runtime quality assurance, and production reliability support.
Senior AI Quality & Reliability Engineer
Chicago, IL · On-site
$91K - $123K/yr
Lead AI validation activities including functional testing, prompt validation, workflow testing, regression testing, release validation, runtime quality assurance, and production reliability support.
Senior AI Quality & Reliability Engineer
Chicago, IL · On-site
$91K - $123K/yr
Lead AI validation activities including functional testing, prompt validation, workflow testing, regression testing, release validation, runtime quality assurance, and production reliability support.
Combines traditional QA practices with AI / ML validation techniques to test data integrity, model performance, automation workflows and user outcomes. Works with engineering, data science, product ...
Combines traditional QA practices with AI / ML validation techniques to test data integrity, model performance, automation workflows and user outcomes. Works with engineering, data science, product ...
Combines traditional QA practices with AI / ML validation techniques to test data integrity, model performance, automation workflows and user outcomes. Works with engineering, data science, product ...
Combines traditional QA practices with AI / ML validation techniques to test data integrity, model performance, automation workflows and user outcomes. Works with engineering, data science, product ...
Ai Quality Assurance information
See salary details
$15.14 - $19.62
5% of jobs
$19.62 - $24.10
1% of jobs
$24.10 - $28.58
4% of jobs
$28.58 - $33.06
8% of jobs
$36.28 is the 25th percentile. Wages below this are outliers.
$33.06 - $37.54
8% of jobs
$37.54 - $42.02
13% of jobs
The median wage is $45.06 / hr.
$42.02 - $46.50
15% of jobs
$46.50 - $50.98
16% of jobs
$52.71 is the 75th percentile. Wages above this are outliers.
$50.98 - $55.46
12% of jobs
$55.46 - $59.94
12% of jobs
$59.94 - $64.42
6% of jobs
$15
$44
$64
How much do ai quality assurance jobs pay per hour?
As of Sep 1, 2026, the average hourly pay for ai quality assurance in the United States is $44.87, according to ZipRecruiter salary data. Most workers in this role earn between $36.54 and $54.57 per hour, depending on experience, location, and employer.
What is AI Quality Assurance?
AI Quality Assurance (AI QA) refers to the processes and practices used to ensure that artificial intelligence systems function accurately, reliably, and ethically. Professionals in this field test AI models for performance, fairness, and compliance with industry standards. They identify bugs, monitor for unintended biases, and verify that AI outputs meet requirements before deployment. AI QA helps build trust in AI technologies by ensuring they deliver consistent and expected results.
How does an AI Quality Assurance professional typically collaborate with data scientists and engineers during the model development lifecycle?
AI Quality Assurance professionals work closely with data scientists and engineers to ensure that models meet performance, reliability, and ethical standards. This collaboration often involves reviewing model requirements, designing and executing test cases, and providing feedback on issues such as data bias or edge-case failures. Frequent communication and teamwork are essential, especially when troubleshooting unexpected results or implementing improvements. By actively participating in development sprints and review meetings, AI QA professionals help maintain high standards and foster a culture of continuous improvement.
What are the key skills and qualifications needed to thrive as an AI Quality Assurance specialist, and why are they important?
To thrive as an AI Quality Assurance specialist, you need a solid background in software testing, machine learning concepts, and programming, often supported by a degree in computer science or a related field. Familiarity with QA automation tools, version control systems like Git, and AI testing frameworks is crucial for effective performance. Strong analytical thinking, attention to detail, and clear communication are valuable soft skills that elevate performance in this role. These skills ensure the reliability, accuracy, and continual improvement of AI systems, directly impacting product quality and user trust.
What is the difference between Ai Quality Assurance vs Data Analyst?
| Aspect | Ai Quality Assurance | Data Analyst |
|---|---|---|
| Required Credentials | Certifications in AI, QA, or software testing | Degree in Data Science, Statistics, or related field |
| Work Environment | Tech companies, AI development teams | Business, finance, marketing sectors |
| Industry Usage | AI product testing, model validation | Data interpretation, reporting |
| Common Search Intent | Understanding QA roles in AI | Analyzing data for insights |
While both roles involve working with data and technology, Ai Quality Assurance focuses on testing and validating AI systems to ensure accuracy and reliability. Data Analysts interpret data to inform business decisions. The roles often overlap in tech environments but serve different purposes within the AI and data ecosystem.
More about Ai Quality Assurance jobs
What cities are hiring for Ai Quality Assurance jobs?
Cities with the most Ai Quality Assurance job openings:
What are the most commonly searched types of Ai Quality Assurance jobs?
The most popular types of Ai Quality Assurance jobs are:
Who are the top companies hiring for Ai Quality Assurance jobs?
The top employers for Ai Quality Assurance jobs are:
What states have the most Ai Quality Assurance jobs?
States with the most job openings for Ai Quality Assurance jobs include:
What job categories do people searching Ai Quality Assurance jobs look for?
The top searched job categories for Ai Quality Assurance jobs are:
Lead Engineer - II_AI QA Manual Testing
Denver, CO • On-site
ADDSOURCE •
Marketing • 11 - 50 employees11 - 50 employees
Other
Posted 11 days ago
Job description
Role: Lead Engineer - II_AI QA Manual Testing
Location: Denver, CO(Hybrid)
Key Responsibilities:
Define overall AI QA strategy
Lead testing efforts across multiple AI initiatives
Mentor other QA engineers
Drive AI quality governance and operational excellence
Required Qualifications:
Bachelor's degree in Computer Science, Engineering, or related field.
Min 8+ years of experience in Quality Engineering, Test Automation, or QA.
Experience testing AI/GenAI, LLM-based applications, or intelligent automation solutions.
Experience with Python, SQL, API testing, and cloud-based applications.
VeeRteq Solutions is an Equal Opportunity Employer
About Addsource
Sourced by ZipRecruiter
Industry
Marketing
Company size
11 - 50 Employees
Headquarters location
Portland, OR, US
Year founded
2012