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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 · 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.

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.

SysMind Tech

Gen-AI Engineers

Jersey City, NJ · On-site

$65 - $70/hr

Design, develop, and implement Generative AI solutions using LLMs and related AI technologies ... Support model evaluation, testing, monitoring, and production deployment. * Work with stakeholders ...

Deloitte

Lead Generative AI Data Engineer III

New York, NY · On-site

$112K - $147K/yr

Lead the design, development, testing, and deployment of machine learning and artificial ... Manage AI engineering workstreams by assigning work, reviewing deliverables, and driving quality ...

Deloitte

Lead Generative AI Data Engineer III

New York, NY · On-site

$112K - $147K/yr

Lead the design, development, testing, and deployment of machine learning and artificial ... Manage AI engineering workstreams by assigning work, reviewing deliverables, and driving quality ...

HCLTech

AI at BROOKLYN, New York

Brooklyn, NY · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement enterprise-scale AI and Generative AI platforms. * Architect intelligent ... Drive continuous improvement through benchmarking and performance testing. Security & Compliance

New

HCLTech

AI at Kearny, New Jersey

Kearny, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement enterprise-scale AI and Generative AI platforms. * Architect intelligent ... Drive continuous improvement through benchmarking and performance testing. * Security & Compliance

New

Snorkel AI

Lead Data Scientist

New York, NY · On-site

$130K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Own Generative AI Analytics: Build and maintain end-to-end infra (semantic layer, LLM tooling ... Experience with Streamlit, Snowflake Cortex, AI/data labeling, A/B testing, and two-sided ...

Writer

AI deployment engineer (East)

New York, NY · On-site

$146K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin ... Early-detection cancer testing through Galleri * Flexible spending account and dependent FSA ...

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All JobsGenerative Ai Testing JobsGenerative Ai Testing Jobs in Edison, NJ

Generative Ai Testing information

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How much do generative ai testing jobs pay per hour?

As of Aug 17, 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, 78% Full Time, 13% Part Time, 3% Temporary, 4% 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.

Gen AI Engineer

InterSources Inc

Edison, NJ • On-site

Full-time

Re-posted 9 days ago

Job description

Job Summary:
InterSources Inc is seeking a Gen AI Engineer to join their team. The role involves developing AI workflows, prompt engineering, and maintaining AI models across various environments.
Responsibilities:
• AI workflow development
• Prompt engineering
• Deployment and maintenance of AI models across all environments including Production.
• Code review, testing and documentation
• Continuous learning in Generative AI-related fields
Qualifications:
Required:
• Strong hands-on Python knowledge
• Hands-on experience in developing API Development in Python using FastAPI/ Flask framework
• Working experience in Data Processing, AI enabled workflows using python
• Knowledge of LLM, Prompt Engineering, RAG Architecture, Agentic AI.
• Basic knowledge of Hybrid prompting technique
• Knowledge in Generative AI tools like LangChain, Hugging Face, Llama Index etc.
Preferred:
• Working experience with Gemini LLM
• Hands-on knowledge in machine learning frameworks like PyTorch, TensorFlow, Keras
• Hands-On knowledge on NLP
• Understanding of model deployment and containerization (Docker).
• Understanding of version control systems (Git).
• Awareness of AI compliance, data privacy, and responsible AI principles
Company:
InterSources Inc. solves operational problems where protection, performance, compliance, AI, and workforce capability must work together. Founded in 2007, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.
InterSources logo

About InterSources

Sourced by ZipRecruiter

In 2007, Our journey began as pioneers in the realm of technology and security. Since then, InterSources Inc. has evolved into a trusted partner, leading the way in Cloud Security, Cybersecurity, PLG Consulting, Digital Transformation, and Professional Services. With a rich history of excellence and a forward-thinking approach, we continue to secure your digital future and drive innovation. Explore our legacy of success and discover the possibilities that lie ahead.

Company size

51 - 200 Employees

Headquarters location

Fremont, CA, US

Year founded

2007

Social media

Twitter

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