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Generative Ai Testing Jobs in Edison, NJ (NOW HIRING)

InterSources Inc

Gen AI Engineer

Edison, NJ · On-site

... testing and documentation • Continuous learning in Generative AI-related fields Qualifications : Required : • Strong hands-on Python knowledge • Hands-on experience in developing API ...

Alice

Freelancer - AI Red Team Experts

New York, NY · Remote

Your primary responsibility will be to conduct analysis and testing of our generative AI systems, including but not limited to language models, image generation models, and any related infrastructure.

Alice

Freelancer - AI Red Team Experts

New York, NY · On-site +1

Your primary responsibility will be to conduct analysis and testing of our generative AI systems, including but not limited to language models, image generation models, and any related infrastructure.

New York Life

Principal AI Engineer

Manhattan, NY · Hybrid

... Generative AI, and agentic AI architectures. Strong software engineering skills in Python, with working knowledge of SQL and JavaScript or TypeScript. Experience building, testing, deploying, and ...

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Generative Ai Testing information

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$33

$55

$79

How much do generative ai testing jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for generative ai testing in Edison, NJ is $55.62, according to ZipRecruiter salary data. Most workers in this role earn between $45.77 and $63.70 per hour, depending on experience, location, and employer.

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 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.

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 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 do I become a Generative AI Testing?

To become a Generative AI Tester, develop skills in machine learning, natural language processing, and programming languages like Python. Gain experience with AI frameworks such as TensorFlow or PyTorch and understand data quality and model evaluation techniques. Relevant certifications and hands-on projects can enhance your qualifications for roles in AI testing environments.

Is Generative AI Testing a good career?

Generative AI Testing is a growing field within AI development, focusing on evaluating the quality and safety of AI-generated content. It requires skills in machine learning, programming, and understanding AI models, often involving tools like Python and TensorFlow. The role offers opportunities in tech companies and research labs, with demand expected to increase as AI applications expand.

What are popular job titles related to Generative Ai Testing jobs in Edison, NJ?

For Generative Ai Testing jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Generative Ai Testing jobs in Edison, NJ look for?

The top searched job categories for Generative Ai Testing jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Generative Ai Testing jobs?

Cities near Edison, NJ with the most Generative Ai Testing job openings:

Generative Ai Testing jobs near you
Infographic showing various Generative Ai Testing job openings in Edison, NJ as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $115,690 per year, or $55.6 per hour.

Software Engineer with Front End and Gen AI

Manhattan, NY • On-site

Perfict
Recruiting and Staffing Services • 51 - 200 employees
Learn more about Perfictexternal

Full-time

Re-posted 4 days ago

Job description

Job Summary:
Perfict Global is a leading IT consulting services provider focused on providing innovative business workforce solutions to Fortune 500 companies. They are seeking a talented Full Stack Java Software Engineer to develop and integrate Generative AI solutions, focusing on technology improvements and collaborating with cross-functional teams.
Responsibilities:
• Collaborate with cross-functional teams such as Data Scientists, Product Partners and Partner Team Developers to identify oppurtunities for process improvements that can be solved using machine learning and generative AI.
• Write clean, high-performance, high-quality, maintainable code.
• Create Plugins for various IDE's & Web Consoles .
• Create connectors to various Content and Colloboration tools using tool specific API's such as Jira, Slack, Git etc
• Create backend applications using Java, docker & in-house frameworks to orchestrate AI applications
• Design and develop Engineering Solutions & generative AI Applications for above ensuring scalability, efficiency, and maintainability of such solutions.
• Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs.
• Stay abreast of the latest advancements in the field of Generative AI Application Development and actively contribute to the research and development of new Generative AI Applications.
Qualifications:
Required:
• A Master's or Ph.D. degree in Computer Science or a related field.
• Minimum 6 years experience with at least 3 years in designing and building Client/AI Solutions.
• Proven experience working as a Software Engineer, with a focus on Java, and exposure to Generative AI Applications such as chatGPT.
• Strong proficiency in programming languages such as Java, Kotlin, Scala etc (Mandatory)
• Experience creating IDE Plugins for PyCharm, VS Code, IntelliJ & Web Consoles (Mandatory)
• Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.
• Strong communication skills to effectively collaborate and present findings to both technical and non-technical stakeholders.
• Proven ability to adapt and learn new technologies and frameworks quickly.
• A proactive mindset with a passion for continuous learning and research.
Preferred:
• Experience in python and data pipelines (nice to have)
• Experience with large language models (LLMs) & prompt engineering techniques, vector DB's (Nice to have)
Company:
Perfict Global is an IT consulting services provider, focused on providing innovative and successful business workforce solutions. Founded in 2011, the company is headquartered in Concord, USA, with a team of 51-200 employees. The company is currently Growth Stage.
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About Perfict

Sourced by ZipRecruiter

We are a technology company focused on providing innovative and successful business workforce solutions. Since 2011, Perfict has partnered with the biggest names across sectors offering a customized approach to each solution. We’ve established networks of genuine relationships that allow us to source the highest-quality talent and execute deals and hires quickly. With locations in US and India, we work globally to help you build your organization. Our methodology begins with listening to you about your needs. We work with your team to gain a clear understanding of your requirements, while providing a knowledge transfer of best practices.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Walnut Creek, CA, US

Year founded

2011

Social media

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