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Ai Qa Jobs in Raleigh, NC (NOW HIRING)

... AI-powered tools to improve testing efficiency, expand coverage, and streamline quality assurance workflows. Qualifications : Required : • 3+ years of experience in Quality Assurance, Software ...

Leverage AI-powered tools to improve testing efficiency, expand coverage, and streamline quality assurance workflows. WHAT YOU WILL NEED * 3+ years of experience in Quality Assurance, Software ...

Leverage AI-powered tools to improve testing efficiency, expand coverage, and streamline quality assurance workflows. WHAT YOU WILL NEED * 3+ years of experience in Quality Assurance, Software ...

Leverage AI-powered tools to improve testing efficiency, expand coverage, and streamline quality assurance workflows. WHAT YOU WILL NEED * 3+ years of experience in Quality Assurance, Software ...

Leverage AI-powered tools to improve testing efficiency, expand coverage, and streamline quality assurance workflows. WHAT YOU WILL NEED * 3+ years of experience in Quality Assurance, Software ...

Associate QA Engineer

Raleigh, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You'll work with technologies spanning AI-driven noise suppression, real-time language translation ... We are hiring an Associate QA Engineer to join our innovative engineering team. This role is scoped ...

QA Engineer / Test Automation Engineer Category: Testing/Quality Assurance Main location: United ... Utilize GenAI and AI driven development tools to accelerate test creation, improve coverage, and ...

Associate QA Engineer

Raleigh, NC · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You'll work with technologies spanning AI-driven noise suppression, real-time language translation ... We are hiring an Associate QA Engineer to join our innovative engineering team. This role is scoped ...

Head of Product and Quality Assurance

Raleigh, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Partner closely with Engineering, Data, AI, Compliance, and Operations teams. * Drive feature adoption and customer utilization. Quality Leadership * Build and lead EnrollHere's quality assurance ...

Head of Product and Quality Assurance

Raleigh, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Partner closely with Engineering, Data, AI, Compliance, and Operations teams. * Drive feature adoption and customer utilization. Quality Leadership * Build and lead EnrollHere's quality assurance ...

Head of Product and Quality Assurance

Raleigh, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Partner closely with Engineering, Data, AI, Compliance, and Operations teams. * Drive feature adoption and customer utilization. Quality Leadership * Build and lead EnrollHere's quality assurance ...

STAFF SOFTWARE QA ENGINEER

Durham, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

STAFF SOFTWARE QUALITY ASSURANCE ENGINEER Smart Wires provides advanced power flow control ... Champion enterprise AI adoption within the SQA team and own the verification strategy for AI ...

Lead Software Quality Assurance Analyst

Durham, NC · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Lead Software Quality Assurance Analyst helps deliver the quality, efficiency and performance ... Plus- Working experience with AI Software tools and techniques into automation process Minimum ...

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Showing results 1-20

Ai Qa information

See Raleigh, NC salary details

$10

$39

$69

How much do ai qa jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for ai qa in Raleigh, NC is $39.01, according to ZipRecruiter salary data. Most workers in this role earn between $27.36 and $47.88 per hour, depending on experience, location, and employer.

What is the difference between Ai Qa vs Data Analyst?

AspectAi QaData Analyst
Required CredentialsTypically certifications in AI, QA, or software testingBachelor's degree in data science, statistics, or related fields
Work EnvironmentTech companies, software development teams, AI-focused projectsBusiness, finance, healthcare, and various industries analyzing data
Employer & Industry UsageTech firms, AI startups, software companiesCorporations across multiple sectors, consulting firms
Common Search & Comparison IntentUnderstanding roles in AI quality assuranceAnalyzing data to inform business decisions

Ai Qa specialists focus on testing and ensuring the quality of AI systems, often requiring knowledge of AI tools and testing protocols. Data Analysts interpret data to generate insights, requiring skills in data visualization and statistical analysis. While both roles work with data and technology, Ai Qa emphasizes quality assurance in AI development, whereas Data Analysts focus on data interpretation for decision-making.

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

To thrive as an AI QA specialist, you need strong analytical skills, knowledge of software testing methodologies, and a solid understanding of AI/ML concepts, typically supported by a degree in computer science or a related field. Familiarity with testing frameworks like Selenium or PyTest, version control systems like Git, and tools such as TensorFlow or PyTorch for model validation is often required. Attention to detail, problem-solving abilities, and effective communication set top performers apart in this role. These skills ensure the reliability, fairness, and safety of AI systems, which is critical for delivering trustworthy and high-quality AI solutions.

What is an AI QA?

AI QA (Artificial Intelligence Quality Assurance) professionals are specialists who test and validate machine learning models, AI systems, and related software to ensure they function correctly, reliably, and ethically. They design test cases, evaluate model accuracy, check for biases, and verify compliance with regulatory standards. AI QA experts work closely with data scientists, developers, and product managers to identify issues and improve system performance throughout the AI development lifecycle.

How does an AI QA engineer typically collaborate with data scientists and developers during the model development lifecycle?

AI QA engineers work closely with data scientists and developers throughout the AI model development process. They often participate in sprint planning and daily stand-up meetings to align on testing strategies, clarify requirements, and address potential model issues early. Their responsibilities include designing test cases for model accuracy, fairness, and robustness, as well as validating data pipelines and deployment workflows. Effective communication and a proactive approach are essential, as AI QA engineers help ensure the final model meets quality standards and integrates smoothly into production environments.

What are popular job titles related to Ai Qa jobs in Raleigh, NC?

For Ai Qa jobs in Raleigh, NC, the most frequently searched job titles are:

What cities near Raleigh, NC are hiring for Ai Qa jobs?

Cities near Raleigh, NC with the most Ai Qa job openings:

Infographic showing various Ai Qa job openings in Raleigh, NC as of August 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $81,142 per year, or $39 per hour.

QA Engineer

HirexHire

Raleigh, NC • On-site

Full-time

Re-posted 5 days ago


Job description

Job Summary:
HirexHire is a Chicago-based recruiting and talent consultancy that partners with companies to provide long-term talent solutions. They are seeking a Quality Assurance Engineer to ensure the reliability and quality of a SaaS platform for public-sector organizations, focusing on manual and automated testing throughout the development lifecycle.
Responsibilities:
• Design, develop, and execute test plans and test cases for new features, enhancements, and bug fixes across web and mobile applications.
• Perform manual testing to validate functionality, identify edge cases, and evaluate the overall user experience.
• Build, maintain, and improve automated test suites using modern testing frameworks and programming languages.
• Execute regression testing to ensure existing functionality remains stable as new releases are deployed.
• Integrate automated tests into Azure DevOps CI/CD pipelines to support efficient and reliable software delivery.
• Partner closely with Product Managers and Software Engineers throughout the sprint lifecycle to validate requirements and ensure quality standards are met.
• Investigate, document, and communicate defects with clear reproduction steps, supporting evidence, and impact assessments.
• Utilize SQL queries and technical troubleshooting techniques to validate data, reproduce issues, and support root cause analysis.
• Contribute to testing strategies for larger customer initiatives, ensuring appropriate coverage based on complexity, risk, and business impact.
• Leverage AI-powered tools to improve testing efficiency, expand coverage, and streamline quality assurance workflows.
Qualifications:
Required:
• 3+ years of experience in Quality Assurance, Software Testing, or a similar role within a SaaS environment.
• Hands-on experience with automated testing frameworks such as Playwright, Selenium, Cypress, or Appium.
• Proficiency in at least one programming language commonly used for test automation, including Python, Java, JavaScript, or TypeScript.
• Experience working with modern web technologies and applications built with ASP.NET MVC, .NET/C#, React, JavaScript, jQuery, HTML/CSS, and REST APIs.
• Familiarity with Azure, Azure DevOps, CI/CD pipelines, and software development workflows.
• Strong understanding of QA methodologies including test planning, test case design, exploratory testing, regression testing, defect management, and release validation.
• Experience using Jira, Azure DevOps, or similar tools to track defects, manage testing activities, and collaborate with cross-functional teams.
• Ability to read and understand application code, troubleshoot technical issues, and effectively partner with software engineers throughout the development lifecycle.
• Experience writing SQL queries and working with MSSQL databases to validate data, investigate issues, and support root cause analysis.
• Demonstrated ability to leverage AI tools as a productivity multiplier for generating test cases, improving automation coverage, streamlining workflows, and enhancing overall testing effectiveness.
Preferred:
• Hands-on experience with automated testing frameworks such as Playwright.
Company:
HirexHire offers talent consultancy and recruiting services for rapid growth businesses. Founded in 2018, the company is headquartered in Chicago, USA, with a team of 2-10 employees. The company is currently Early Stage.