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

... transformers; and generative AI architectures. โ€ข Experience with prompt engineering ... testing to validate model performance โ€ข Deploy models using cloud platforms (Azure) and MLOps ...

Data Engineer, DA&AI Co-Op

Camden, NJ ยท On-site

$115K - $138K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

This co-op / internship offers hands-on experience at the forefront of Generative AI and automation ... Key ResponsibilitiesPrototype AI Agents: Assist in building and testing AI agents designed to ...

Data Engineer, DA&AI Co-Op

Camden, NJ ยท On-site

$115K - $138K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

This co-op / internship offers hands-on experience at the forefront of Generative AI and automation ... Key ResponsibilitiesPrototype AI Agents: Assist in building and testing AI agents designed to ...

Data Engineer, DA&AI Co-Op

Camden, NJ ยท On-site

$115K - $138K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

This co-op / internship offers hands-on experience at the forefront of Generative AI and automation ... Key ResponsibilitiesPrototype AI Agents: Assist in building and testing AI agents designed to ...

... generative AI, agentic AI, and decision-science problem statements. * Perform exploratory data analysis, statistical analysis, hypothesis testing, experimental design, feature engineering, predictive ...

Software Engineer

Newtown, PA ยท On-site +1

$108K - $115K/yr

... testing, and debugging, following team prompting standards and code-review practices for AI-generated code. * Contribute to the design and development of Generative AI features, such as chat ...

Event Manager

Newtown, PA ยท On-site +1

$60K - $64K/yr

Overview LSAC's mission is to advance law and justice by promoting access, equity, and fairness in law school admission, to broaden the pathway into legal education, and to support law schools, law ...

Lead AI Quality Assurance Engineer

Berwyn, PA ยท Hybrid

  • Medical

  • Retirement

  • PTO

... models, Generative AI applications, LLM-enabled systems, or data science solutions. * Experience with automated testing frameworks, API testing, model evaluation, prompt testing, hallucination ...

New

Lead AI Quality Assurance Engineer

Berwyn, PA ยท Hybrid

$123K/yr

  • Medical

  • Retirement

  • PTO

... models, Generative AI applications, LLM-enabled systems, or data science solutions. * Experience with automated testing frameworks, API testing, model evaluation, prompt testing, hallucination ...

New

Lead AI Quality Assurance Engineer

Berwyn, PA ยท Hybrid

  • Medical

  • Retirement

  • PTO

... models, Generative AI applications, LLM-enabled systems, or data science solutions. * Experience with automated testing frameworks, API testing, model evaluation, prompt testing, hallucination ...

New

General Information

Philadelphia, PA ยท On-site

$60.50 - $78.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Design, build, and deploy production-grade machine learning and Generative AI solutions that solve ... testing, and automated retraining. * Build and manage online and batch model-serving endpoints ...

Senior Applied AI Engineer

Malvern, PA ยท On-site

$130K - $162K/yr

... shipping LLM, generative-AI, or agent-based capabilities to production, including agent ... Experience building evaluation, testing, monitoring, and observability for production AI, and ...

Showing results 21-40

Generative Ai Testing information

See Riverside, NJ salary details

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$54

$77

How much do generative ai testing jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for generative ai testing in Riverside, NJ is $54.26, according to ZipRecruiter salary data. Most workers in this role earn between $44.66 and $62.16 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 cities near Riverside, NJ are hiring for Generative Ai Testing jobs?

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

AI Solutions Engineer - JobID-0230

Innovative Defense Technologies (IDT)

Mount Laurel, NJ โ€ข On-site

Full-time

Re-posted 24 days ago


Job description

Job Summary:
Innovative Defense Technologies (IDT) is a leading defense technology company focused on delivering mission-critical software and systems solutions to the U.S. government. They are seeking an AI Solutions Engineer to apply AI technologies to improve productivity and decision-making, while collaborating with various teams to deliver impactful solutions.
Responsibilities:
โ€ข Apply AI technologies to improve productivity, decision-making, and automation across engineering and business functions
โ€ข Research, evaluate, and prototype AI tools, frameworks, and platforms to address internal operational challenges
โ€ข Implement practical AI-enabled solutions that integrate into existing workflows and systems
โ€ข Collaborate with internal stakeholders across engineering, security, program management, and business teams to understand problems and deliver impactful solutions
โ€ข Integrate AI capabilities into existing development and operational processes while ensuring usability, reliability, and maintainability
โ€ข Support internal adoption of AI technologies by providing guidance, demonstrations, and knowledge sharing
โ€ข Guide the organization on emerging AI trends, platforms, and best practices
โ€ข Work closely with security and compliance teams to ensure AI solutions meet relevant policies and regulations, particularly in sensitive and classified environments
โ€ข Continuously evaluate and refine AI adoption strategies to align with evolving business needs and technology landscapes
Qualifications:
Required:
โ€ข 3+ years of professional software or technical experience
โ€ข Bachelorโ€™s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience
โ€ข U.S. citizenship
โ€ข Ability to travel up to 10% as needed
โ€ข Strong understanding and experience in applying of modern AI technologiesโ€”particularly large language models (LLMs), generative AI tools, and AI-assisted development workflowsโ€”and practical approaches for integrating them into real-world systems
โ€ข Experience designing and implementing technical solutions that leverage AI technologies to improve productivity, automation, or decision-making
โ€ข Ability to rapidly prototype and evaluate new technologies to determine their potential value to the organization
โ€ข Understanding of secure software development practices and AI-specific security considerations
โ€ข Familiarity working within environments that require strong security and compliance controls
โ€ข Strong problem-solving skills and the ability to independently define requirements, scope initiatives, and deliver practical solutions
โ€ข Strong communication skills, including the ability to explain complex technical concepts to diverse audiences
โ€ข Demonstrated ability to collaborate across engineering, security, compliance, and business teams
โ€ข Comfortable balancing innovation with security, compliance, and operational constraints
Preferred:
โ€ข Knowledge of Naval tactical systems like Aegis, SSDS, SLQ-32, or other similar systems
โ€ข Familiarity with MLOps practices such as model lifecycle management, monitoring, and CI/CD integration
โ€ข Experience integrating AI capabilities into DevSecOps or CI/CD pipelines
โ€ข Hands-on experience deploying AI-enabled tools or applications into production environments
โ€ข Experience working with generative AI technologies, large language models, or natural language processing tools
โ€ข Knowledge of NIST 800-53, DISA STIGs and Risk Management Framework processes, or other compliance frameworks specifically on AI systems
โ€ข Experience working in defense, government, or other mission-critical domains
โ€ข Experience evaluating emerging technologies and guiding organizational adoption
โ€ข Understanding of change management strategies for introducing new technologies into established workflows
Company:
Innovative Defense Technologies is an information technology company that provides software testing and data analysis services. Founded in 2006, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.