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Ai Qa Jobs in Raleigh, NC (NOW HIRING)

Test Engineer

Durham, NC · On-site

$40 - $45/hr

... AI-supported QA workflows. Required Skills: • Analytical and problem solving, interpersonal, and organizational skills. • Demonstrated understanding of source code for applications written in

... AI-supported QA workflows. Required Skills: • Analytical and problem solving, interpersonal, and organizational skills. • Demonstrated understanding of source code for applications written in

Responsible AI Governance Specialist

Raleigh, NC · On-site

$15.75 - $21/hr

Responsible AI Principles Alignment The Responsible AI Governance Specialist will help ensure ... Track governance, testing, and quality assurance evidence, including offline evaluations, human ...

Responsible AI Governance Specialist

Raleigh, NC · On-site

$15.75 - $21/hr

Responsible AI Principles Alignment The Responsible AI Governance Specialist will help ensure ... Track governance, testing, and quality assurance evidence, including offline evaluations, human ...

Responsible AI Governance Specialist

Raleigh, NC · On-site

$15.75 - $21/hr

Responsible AI Principles Alignment The Responsible AI Governance Specialist will help ensure ... Track governance, testing, and quality assurance evidence, including offline evaluations, human ...

Showing results 41-60

Ai Qa information

See Raleigh, NC salary details

$10

$39

$69

How much do ai qa jobs pay per hour?

As of Sep 5, 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 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.

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.

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 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.

How to become an AI QA tester?

To become an AI QA tester, you should have a strong understanding of software testing principles, familiarity with AI and machine learning concepts, and experience with testing tools and scripting languages. Gaining knowledge of AI models, data validation, and quality assurance processes is essential, and certifications in software testing or AI can enhance your qualifications.

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 48% Full Time, 19% Part Time, and 33% Contract. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $81,142 per year, or $39 per hour.

Creative Product Technologist, Data & AI

Teamwass

Raleigh, NC

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago


Job description

THETEAM operates at the epicenter of sports, music and entertainment, serving talent, brands and properties on a global scale. Our brands and properties division works with iconic brands and rights holders, supporting business growth through all marketing disciplines. We're a trusted partner to every major league, team and venue, building meaningful connections between brands, properties and fans.

Headquartered in Los Angeles, THETEAM's presence spans 28 countries and more than 70 cities, including New York, London, Abu Dhabi, Amsterdam, Hong Kong, Madrid, Mexico City, Toronto, Paris and Sydney. For more information, please visit THE.TEAM.

Job Overview

THETEAM is looking for a Creative Product Technologist, Data & AI to help our Performance & Insights team design, prototype, and ship data-visualization, measurement, data-capture, web-app, and AI-enabled tools for clients across sports and entertainment.

At its core, this is a hands-on product-development and rapid-prototyping role. The candidate's deepest capability is taking an ambiguous brief and turning it into a working, useful product, supported by strong UI/design and data-visualization skills. The candidate will use AI-assisted development to structure data, connect APIs, build web-app experiences, and ship working tools, while producing design-grade interfaces and clear data visualization along the way.

This is not intended to be a traditional client-service role, but the person will work closely with Performance & Insights, paid media, digital account teams, and other internal stakeholders. They will act as the technical and creative engine behind owned-audience, insight-access, and performance-marketing products in the U.S. market.

What You'll Do

  • Design, prototype, and ship fan-facing and internal tools, including data-visualization, data-capture, measurement, dashboard, and web-app products.
  • Translate digital account team briefs, client goals, and internal Performance & Insights needs into technical specs, user flows, data models, interfaces, and working prototypes.
  • Use AI-assisted workflows across OpenAI, Anthropic, and emerging tools for rapid prototyping, vibe-coding, design automation, QA, documentation, and iteration.
  • Build dashboards, interactive reports, and visual frameworks that make performance, social, survey, CRM, first-party, and platform data easier to understand and act on.
  • Create design-grade UI/UX, wireframes, high-fidelity interfaces, landing page sketches, sample ads, audience journeys, and performance marketing mock-ups.
  • Partner with Performance & Insights consultants, social analytics experts, paid media leads, digital account managers, and data/engineering partners to move ideas from ambiguity to useful output.
  • Build with data-privacy sensitivity by default, especially when handling first-party, client, campaign, survey, or PII-adjacent data.
  • Document tools, workflows, assumptions, limitations, and reusable patterns so outputs can scale across the client portfolio.
  • Stay current on AI, creative technology, performance marketing, and digital-product trends, proactively bringing useful new methods into the team toolkit.

What We're Looking For

  • 4-6+ years building and shipping digital products - web apps, interactive tools, dashboards, prototypes, or internal platforms - with a portfolio of live or pilot-ready work that shows clear evidence of your role.
  • AI-native way of working. Practical, fluent use of OpenAI, Claude/Anthropic, and emerging tools to compress build cycles from weeks to days - coding, design automation, research, analysis, QA, documentation, and rapid prototyping.
  • Ability to take a product from idea to working, deployed tool largely on your own. Comfortable with a modern JavaScript/TypeScript framework, connecting data and APIs, and getting something hosted and usable. You do not need to be a specialist full-stack engineer - AI-assisted development is expected to cover the depth a traditional engineer would bring.
  • Comfort working in ambiguity, defining the path forward, and proactively suggesting better ways to solve a problem.
Strong supporting skills
  • Product design and UI/UX, including advanced Figma skills and comfort moving from wireframes to high-fidelity, on-brand interfaces.
  • Data fluency and data visualization - working with structured datasets, APIs, BI/dashboard tools, and SQL literacy; ability to understand data models, join datasets, QA outputs, and partner with data/engineering teams on Snowflake, Tableau, or similar workflows.
  • Advanced Adobe Creative Suite and/or comparable design-production capability.
  • Data-privacy sensitivity by instinct and in practice, including responsible handling of first-party, client, campaign, and PII-adjacent data.
  • Strong written communication and documentation habits so prototypes can become repeatable workflows or scalable products.
Nice to have
  • Sports, entertainment, media, agency, consulting, or performance-marketing background.
  • Experience with Python, R, advanced SQL, D3, Plotly, Observable, Tableau, Power BI, Looker Studio, Snowflake, Qualtrics, Google Analytics, Meta/Google ad platforms, owned-audience growth, CRM, first-party data capture, surveys, quizzes, or gamification mechanics.
What We Offer:
  • Professional Development: Take advantage of our learning and development programs, mentorship opportunities, and career advancement support.
  • Generous Time Off: Enjoy generous paid time off and holiday allowances to recharge and spend time with loved ones.
  • Parental Leave: We provide paid parental leave to support your family during important life events.
  • Retirement Plan:401k planincluding contribution matching.
  • Healthcare:Medical, dental, vision,FSA/HSA,lifeanddisabilitycoverageoptions.
  • Ancillary:Critical illness, identity protection, pet insurance, 529 plans and more
  • Commuter Benefits: Access support for travel and commuting needs, where available

Base salary range: $80k - $120k, plus bonus potential if applicable for role.
Actual base salary is dependent on several factors including but not limited to; market dynamics, location and region, experience, specialized skills/training (education), level of responsibility, budgetary considerations, tenure at the company (for current employees), etc. The salary range listed is just one component of the total compensation package for employees. Compensation decisions are dependent on circumstances of each role.

THETEAM does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.