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

Nvidia

Senior Applied AI Engineer

Durham, NC

$101K - $138K/yr

If you're passionate about the latest research and cutting-edge technologies shaping generative AI ... design, testing, CI/CD, code quality, observability, security, databases, containers, and ...

Compunnel

Full Stack Engineer

Durham, NC · On-site

... Generative AI, to accelerate the software development lifecycle. This role involves building prototypes, evaluating tools, and delivering solutions that enhance software development, testing, and ...

Aledade

Brand Manager, Remote

Raleigh, NC · Remote

$115K - $135K/yr

Hands-on experience utilizing generative AI tools (e.g. ChatGPT, Claude, etc.) for brand operations, testing, copywriting or creative direction. * Strong project management skills with ability to ...

Deloitte

AI Security Engineer Manager

Raleigh, NC · On-site

Integrate security across the SSDLC, including code reviews, testing, and deployment. In this role ... and Generative AI solutions. You will operate hands-on across high-visibility initiatives ...

Aledade

Brand Manager, Remote

Raleigh, NC · On-site +1

$115K - $135K/yr

Hands-on experience utilizing generative AI tools (e.g. ChatGPT, Claude, etc.) for brand operations, testing, copywriting or creative direction. * Strong project management skills with ability to ...

RELX

Chief Information Security Officer

Raleigh, NC · On-site

... testing, vulnerability management as first-class engineering practices. * Lead AI security governance: define standards for securing AI/ML systems and generative AI products, including secure data ...

TEKsystems

Principal Data Scientist

Raleigh, NC

$75 - $90/hr

S. customers, a generative AI solution designed to transform legal work. Their product delivers ... models, diagnostic testing of models Experience working directly and Transformer based ...

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Generative Ai Testing information

See Raleigh, NC salary details

$31

$52

$74

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 AWS/Cloud Full Stack Engineer

INFOSYS NOVA HOLDINGS LLC

Raleigh, NC • On-site

Full-time

Posted yesterday

Job description

Description:

Senior AWS/Cloud Full Stack Engineer – Role Requirements

Technical Expertise

Frontend Development: Proficiency in modern frameworks such as React, Angular; strong understanding of HTML, CSS, JavaScript/TypeScript.

Backend Development: Experience with server-side technologies like Node.js, Python, Java (SpringBoot)

Database Management: Strong skills in relational databases (e.g., PostgreSQL, MySQL) andfamiliarity with NoSQL databases (e.g., DocumentDB/MongoDB).

API Design & Integration: Expertise in building and consuming RESTful and GraphQL APIs.

Cloud & DevOps: Experience with AWS cloud platform, CI/CD pipelines, containerization (Docker,Kubernetes), and infrastructure-as-code tools.

GenAI & Emerging Tech

Exposure to Generative AI technologies, including experience integrating LLMs (e.g., OpenAI,Anthropic) into applications.

Familiarity with prompt engineering, model fine-tuning, or building GenAI-powered features such aschatbots, summarization tools, or intelligent assistants.

Understanding of ethical considerations and responsible AI practices in GenAI implementations.

Software Engineering Practices

Strong understanding of software design principles, architecture patterns, and system scalability.

Experience with automated testing frameworks and test-driven development (TDD).

Familiarity with version control systems (e.g., Git) and agile development methodologies.

Leadership & Collaboration

Proven ability to lead technical initiatives and mentor junior developers.

Strong communication skills to collaborate effectively with cross-functional teams including Product,UX, and QA.

Ability to translate business requirements into scalable technical