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Generative Ai Testing Jobs in Raleigh, NC (NOW HIRING)

RELX

Legal AI Product Manager

Raleigh, NC · Hybrid

$95K - $158K/yr

... generative AI solutions with a flexible, multi-model approach that prioritizes using the best model ... testing Assisting on launch plans through coordinated development with external customer-facing ...

RELX Group plc

Legal AI Product Manager

Raleigh, NC · On-site

$95K - $158K/yr

... generative AI solutions with a flexible, multi-model approach that prioritizes using the best model ... AB testing • Assisting on launch plans through coordinated development with external customer ...

LexisNexis

Legal AI Product Manager

Raleigh, NC · Hybrid

$95K - $158K/yr

... generative AI solutions with a flexible, multi-model approach that prioritizes using the best model ... testing Assisting on launch plans through coordinated development with external customer-facing ...

LexisNexis

Legal AI Product Manager

Raleigh, NC · On-site

$95K - $158K/yr

... generative AI solutions with a flexible, multi-model approach that prioritizes using the best model ... AB testing • Assisting on launch plans through coordinated development with external customer ...

ARA

Senior Research Engineer - AI/ML

Raleigh, NC · On-site

$181K/yr

Experience developing generative AI, agentic AI, and/or LLM-based systems * Experience leading ... and testing and measurement. ARA also prides itself, on having a challenging culture where ...

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Generative Ai Testing information

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How much do generative ai testing jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for generative ai testing in Raleigh, NC is $52.23, according to ZipRecruiter salary data. Most workers in this role earn between $42.98 and $59.81 per hour, depending on experience, location, and employer.

What is the difference between Generative Ai Testing vs Data Scientist?

AspectGenerative Ai TestingData Scientist
Required CredentialsKnowledge of AI models, testing tools, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentAI development teams, testing labs, tech companiesResearch labs, tech firms, finance, healthcare
Employer & Industry UsageAI product testing, quality assurance in techData analysis, predictive modeling across industries

Generative Ai Testing focuses on evaluating and validating AI-generated content and models, ensuring quality and accuracy. Data Scientists analyze data, build models, and derive insights. While both roles require programming and AI knowledge, Generative Ai Testing emphasizes testing processes, whereas Data Scientists focus on data analysis and model development.

How much do AI testers get paid?

AI testers, involved in evaluating and validating generative AI models, typically earn salaries ranging from $60,000 to $120,000 annually depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in machine learning and data analysis can earn higher wages.

Is AI testing a good career?

AI testing, including roles like Generative AI Testing, is a growing field with increasing demand for skills in machine learning, data analysis, and software quality assurance. It offers opportunities in tech companies, research labs, and startups, often requiring knowledge of AI frameworks and testing tools. The career can be stable and rewarding for those with technical expertise and an interest in AI development.

What are the key skills and qualifications needed to thrive as a Generative AI Testing Specialist, and why are they important?

To thrive as a Generative AI Testing Specialist, you need a robust understanding of machine learning principles, model evaluation techniques, and a background in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and model evaluation frameworks, as well as experience with automated testing platforms, is typically required. Analytical thinking, attention to detail, and strong communication skills help you identify model weaknesses and collaborate effectively with development teams. These skills are crucial to ensure the reliability, safety, and ethical deployment of generative AI solutions.

What is the salary of generative AI tester?

The salary of a generative AI tester typically ranges from $70,000 to $120,000 annually, depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in AI and machine learning can earn higher salaries. Certifications in AI or related fields can also influence compensation.

What are some common challenges faced when testing generative AI models, and how can I prepare to address them in this role?

Testing generative AI models often involves unique challenges such as evaluating the quality and relevance of generated content, detecting bias or inappropriate outputs, and ensuring model consistency across various prompts. You may work closely with data scientists and engineers to create robust evaluation frameworks and develop automated as well as manual testing strategies. Familiarity with prompt engineering, statistical evaluation techniques, and domain-specific knowledge will help you address these challenges effectively. Proactively staying updated on industry best practices and collaborating with cross-functional teams are key to success in this dynamic field.

How do I become an AI tester?

To become an AI tester, you should have a strong understanding of machine learning concepts, programming skills in languages like Python, and experience with data annotation and model evaluation. Familiarity with AI tools, testing frameworks, and quality assurance processes is also important. Gaining relevant certifications or training in AI and software testing can enhance your qualifications.

What is Generative AI Testing?

Generative AI Testing refers to the process of evaluating and validating AI systems, particularly those that generate content such as text, images, or code. This type of testing focuses on assessing the accuracy, reliability, fairness, and safety of generative models to ensure they function as intended and avoid producing harmful or biased outputs. Testers use various methods, including automated and manual techniques, to check for issues like hallucinations, inappropriate content, or security vulnerabilities. The goal is to build trust in generative AI systems and ensure they meet quality and ethical standards before deployment.
What are popular job titles related to Generative Ai Testing jobs in Raleigh, NC? For Generative Ai Testing jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Generative Ai Testing jobs in Raleigh, NC look for? The top searched job categories for Generative Ai Testing jobs in Raleigh, NC are:
Generative Ai Testing jobs near you
Infographic showing various Generative Ai Testing job openings in Raleigh, NC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $108,630 per year, or $52.2 per hour.

Senior Research Engineer - AI/ML

Berriehill Research

Raleigh, NC • On-site

$181K/yr

Full-time

Posted 17 days ago

Job description

Applied Research Associates, Inc. (ARA) is actively seeking a highly qualified Research Engineer for the development of advanced AI/ML algorithms for the Intelligence and Defense communities. Application areas include software tool development, physics-based modeling, machine learning, simulation and optimization, probabilistic modeling, computer vision, and intelligent agents. The scientist / engineer will join a multi-disciplinary collaborative team of engineers and scientists.

We are seeking an experienced Research Engineer to join our team. The ideal candidate will have an active interest in applying math/statistics/physics/engineering concepts to solve multi-disciplinary problems. Candidate will have strong analytical skills and will be capable of translating ideas and proposed solutions into software tools and algorithms. The candidate should be familiar with improving/optimizing/tuning existing algorithms as well as development of new algorithms from scratch. This will include software design, software development, and debugging / issue resolution. The candidate should demonstrate a hands-on approach to problem solving and must be willing to actively participate in evaluation of algorithm and system performance. Strong critical thinking, problem solving, and debugging skills are required.

Scientists / engineers who are passionate about applying their expertise to solve problems of national importance, have a strong entrepreneurial spirit, and are seeking opportunities for personal and professional growth in a stable environment are strongly encouraged to apply.

Senior Research Engineer – AI/ML Position Requirements:

  • U.S. Citizenship (No exceptions; green card holders are not eligible)
  • Current TS/SCI clearance or TS/SCI eligible
  • BS in Engineering, Computer Science, Physics, Mathematics, or a related field with 10-12 years of relevant work experience
  • Experience in one or more of the following areas: machine learning, physics-based modeling, simulation and optimization, uncertainty quantification, surrogate modeling and model reduction, computer vision, and intelligent agents
  • Strong foundation in software development and experience with Python, Java, and/or C++
  • Experience going from problem statement to prototype to production-ready algorithms
  • Strong communication and collaboration skills, capable of working effectively in a dynamic, team-oriented environment

Senior Research Engineer – AI/ML Preferences:

Above all, we value passion, a continuous desire to learn, and teamwork. We are confident that if you possess the right attitude, work ethic, and skill set, you will succeed in the role. In addition to the experience and skills above, if you have any of the following, you will be able to accelerate your effectiveness and impact.

  • PhD or MS in Engineering, Computer Science, Physics, Mathematics, or a related field
  • Experience in cloud-based, parallel, or distributed computing.
  • Experience developing generative AI, agentic AI, and/or LLM-based systems
  • Experience leading small teams of researchers and engineers
  • Experience with proposal development and sponsor interactions
  • Ability and desire to quickly learn new domains.

Who is ARA?  

Do you want to work for a purpose? Applied Research Associates, Inc. (aka ARA) is an employee-owned international research and engineering company. We have been providing technically superior solutions to complex and challenging problems in the physical sciences since 1979. ARA has over 2,200 employee-owners and continues to grow rapidly. Together, our offices throughout the U.S. and Canada provide a broad range of technical expertise in defense, civil, and health technologies, computer software and simulation, systems analysis, environmental technologies, and testing and measurement. 

ARA also prides itself, on having a challenging culture where innovation & experimentation are the norm. The motto, “Engineering and Science for Fun and Profit” sums up the ARA experience. Employee ownership ensures you have a voice in what happens in the company. We are also very proud of our Women’s Initiative Network (WIN), whose purpose is to motivate, support, and encourage professional career development for women to maximize career and professional accomplishments.  

To find out more about what the Software Enterprise Division has to offer, visit our website at: https://www.ara.com/benefits/ 

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