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

E-Solutions, Inc.

Gen AI Engineer

Raleigh, NC · On-site

Participate in model testing and validation, selecting the best-performing algorithms based on ... Experience in Generative AI and Large Language Models (LLMs) * Hands-on experience with agentic ...

Compunnel

Java Developer

Durham, NC · On-site

$49.25 - $63.75/hr

... Utilize AI-assisted development tools and Generative AI technologies to improve software ... testing, and production support. • Contribute to automation initiatives and continuous product ...

Well

Product Manager

Chapel Hill, NC · On-site +1

$115K - $140K/yr

Identify and evaluate opportunities to apply generative AI, large language models, and other ... Experience with experimentation frameworks (A/B testing, feature flagging) and data pipelines.

Amphenol TCS

AI Lead

Raleigh, NC · On-site

Support pilots, user testing, training, deployment, and adoption in partnership with functional ... Working knowledge of generative AI, large language models, copilots, agents, prompt/agent design ...

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All JobsGenerative Ai Testing JobsGenerative Ai Testing Jobs in Raleigh, NC

Generative Ai Testing information

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$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 Data Scientist II - Generative AI / LLM Solutions[Hybrid]

Senior Data Scientist II - Generative AI / LLM Solutions[Hybrid]

SmartIPlace

Raleigh, NC • On-site

Contractor

Posted 29 days ago

Job description

Senior Data Scientist II – Generative AI / LLM Solutions
Location: Raleigh, NC (Hybrid Preferred) | Remote (EST/CST) Considered
Duration: 6–12 Months Contract-to-Hire
Employment Type: W2 OnlyKey Responsibilities
  • Develop and enhance AI/ML solutions for customer-facing applications.
  • Build, evaluate, and optimize LLM-based and RAG-powered systems.
  • Work closely with engineering teams to deploy and maintain AI solutions in production.
  • Perform model evaluation, testing, and performance optimization.
  • Support production monitoring, troubleshooting, and continuous improvements.
  • Analyze complex datasets to generate actionable insights.
  • Participate in the end-to-end development lifecycle of AI-powered products.
Required Qualifications
  • 8+ years of total professional experience.
  • 4+ years of recent experience as a Data Scientist.
  • Hands-on experience with LLMs, RAG implementations, evaluations, and Agentic AI technologies.
  • Experience developing customer-facing AI products.
  • Strong Python programming skills.
  • Experience supporting production systems alongside software engineering teams.
Preferred Qualifications
  • Experience working in large enterprise environments.
  • Knowledge of modern AI/ML deployment practices.
  • Experience with cloud-based machine learning platforms.
  • Exposure to Generative AI product development.
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About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

Social media

Facebook

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