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

... tuning/testing behavior) and traditional fullstack development tasks (coding frontends/backends ... Strong interest in Generative AI * Solid computer science and software engineering fundamentals ...

Senior Engineer, Generative AI

Manhattan, NY · On-site

$114K - $157K/yr

Design and develop Generative AI applications and features using modern LLM APIs and open-source ... A commitment to automated testing and software development best practices * Strong problem solving ...

Senior Engineer, Generative AI

Manhattan, NY · On-site

$114K - $157K/yr

Design and develop Generative AI applications and features using modern LLM APIs and open-source ... A commitment to automated testing and software development best practices * Strong problem solving ...

Senior Engineer, Generative AI

Manhattan, NY · On-site

$114K - $157K/yr

Design and develop Generative AI applications and features using modern LLM APIs and open-source ... A commitment to automated testing and software development best practices * Strong problem solving ...

Senior Engineer, Generative AI

New York, NY · On-site

$114K - $157K/yr

Design and develop Generative AI applications and features using modern LLM APIs and open-source ... A commitment to automated testing and software development best practices * Strong problem solving ...

Senior Engineer, Generative AI

New York, NY

$114K - $157K/yr

Design and develop Generative AI applications and features using modern LLM APIs and open-source ... A commitment to automated testing and software development best practices * Strong problem solving ...

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

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Generative Ai Testing information

See Edison, NJ salary details

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How much do generative ai testing jobs pay per hour?

As of Jun 9, 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 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.

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 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 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 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:
Platform Engineer - Generative AI

Platform Engineer - Generative AI

Uncountable

New York, NY • On-site

$120K - $160K/yr

Full-time

Medical, Dental, Retirement

Posted 23 days ago


Job description

Thank you for your interest in Uncountable Engineering!
Description
Uncountable is seeking driven software engineers with a focus on Generative AI deployment in software.
Uncountable's software platform is used by scientists in leading scientific R&D organizations to structure and analyze experimental data. Uncountable's users are solving critical problems in materials science, chemistry, biotech, and other scientific fields, and our goal is to help them solve those problems faster.
Your role will be to bring the full power of ongoing advances in LLMs to bear on real-world problems and friction faced by scientists every day. You'll be building AI-powered search and visualization tools, next-generation UX that use multimodal LLMs as the UI, intelligent research assistants, and more. This is a unique opportunity to join the front-line effort to accelerate scientific progress using LLMs and generative AI.
Primary Responsibility
You will be responsible for:
- Building specific LLM powered features end-to-end, including both LLM-specific tasks (prompting, optimizing latency, tuning/testing behavior) and traditional fullstack development tasks (coding frontends/backends, designing APIs and databases)
- Developing a great in-house LLM stack to serve the evolving needs of our product (API integration, testing, observability, caching, infrastructure for fine-tuning and inference, etc)
Uncountable has a strong culture of continuous deployment and fast iteration cycles. You'll expect to ship your work early and often to Uncountable's users and iterate based on their feedback.
Many of the features you build will represent new and unprecedented ways to use software, so you'll wear various hats as a designer, researcher, engineer, product manager, and whatever else is needed to create an amazing product. This is a great role for someone who is looking to grow their skills and perspective quickly, or who wants to found their own company in the future.
Salary Range: $120K-$160K + Equity
Requirements
  • 2 years of development experience
  • Strong interest in Generative AI
  • Solid computer science and software engineering fundamentals

Preferred Qualifications
  • B.S. in computer science
  • Experience shipping software incorporating Generative AI to users (e.g. started an LLM startup or shipped a side project with real usage)
  • Familiarity with fullstack web development

Our Current Stack
  • Backend: Flask (Python), Postgres
  • Frontend: React (Typescript), Redux, Sass

Benefits
  • Competitive Salary and Equity
  • Health and Dental Insurance
  • 401K with Employer Contribution

What's next? Learn more about Interviewing at Uncountable
Learn more about our engineering team: Check out our blog