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

CYNET SYSTEMS

FullStack AWS AI Engineer

Malvern, PA · On-site

$55 - $60/hr

Experience building or integrating Agentic or Generative AI solutions. * Proficiency in at least ... Design and maintain CI/CD pipelines for automated deployment and testing. * Optimize application ...

Drevol LLC

BI Analyst/Report Developer

Malvern, PA · On-site

Exposure to AI/ML or generative AI tools and associated testing or validation frameworks * Experience in scenario-based testing, UAT, or model validation * Familiarity with financial services ...

HCL Global Systems

AI/ML Engineer

Malvern, PA

Generative AI Development: Build LLM-based applications with RAG, structured output, and evaluation ... Solid grasp of software engineering principles including testing, version control (e.g., Git), and ...

NJM Insurance Group

Quality Engineer

Trenton, NJ · On-site

$83K - $97K/yr

We are looking for an innovative software quality engineer who can leverage Generative AI technologies to enhance testing effectiveness, efficiency, and coverage while maintaining human oversight and ...

Reply

AI/ML Engineer (AWS)

Philadelphia, PA

$105K - $144K/yr

... and Generative AI capabilities. * Create, evaluate, and deploy machine learning solutions, including applications powered by large language models. * Establish and maintain datasets, testing ...

Day & Zimmermann

AI/ML Engineer 2

Philadelphia, PA · Remote

This senior engineering role requires equal expertise in generative AI application development and ... hypothesis testing, feature engineering, model optimization, deployment, and monitoring of ...

Anaplan

Principal AI Data Scientist

Philadelphia, PA

Generative AI Architecture: Architect GenAI solutions, focusing on fine-tuning proprietary and open ... Experience with A/B testing and experimentation frameworks for AI features * Contributions to open ...

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

Generative Ai Testing information

See Riverside, NJ salary details

$32

$54

$77

How much do generative ai testing jobs pay per hour?

As of Jun 10, 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 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 cities near Riverside, NJ are hiring for Generative Ai Testing jobs? Cities near Riverside, NJ with the most Generative Ai Testing job openings:
Generative Ai Testing jobs near you

Generative AI Graduate Fellow - Technical Research and Development

New Jersey Innovation Authority

Trenton, NJ

Other

Posted 4 days ago

Job description

The New Jersey Innovation Authority
The New Jersey Innovation Authority (NJIA) is looking for diverse and experienced team members to deploy world-class innovative and digital services that solve pressing public interest challenges for the people of New Jersey. Our work spans numerous issue and policy areas, and is focused on making an impact in the lives of the New Jerseyans that we serve. Our work has decreased the amount of time it takes to apply for Unemployment Insurance, made it easier to start, operate, and grow a business in the Garden State, and connected millions of New Jerseyans to government programs, services, and benefits.
 
Our team members wear many hats, contributing to both the execution of core projects and the evolution of NJIA. We use data and modern research, design, and development methods to inform our decision making, and we collaborate with stakeholders within and outside of government to understand and solve challenges. To learn more about NJIA read our impact report and visit our About Us page.

We are seeking a generative AI fellow with a strong interest in public service and hands-on experience researching, building, and testing LLM tools. This fellowship will run from June 2026 - August 2026.
Scope of work

We are rapidly exploring the use of generative AI in government operations to improve the delivery of services and the experience of NJ residents. This exploration is via a pilot-based approach, wherein multiple pilot projects are rapidly developed, deployed, and monitored in order to understand how to use AI effectively and responsibly in government. 

There are several projects at varying stages of the pilot pipeline: some are early in development, needing background research and engineering work to get off the ground. Some are more mature, with functional prototypes being integrated into agency operations, and now requiring development and execution of evaluation plans to measure efficacy, risk, and impact. Finally, we are developing resources to communicate learnings about generative AI use for operational and policy development purposes. 

The Generative AI Graduate Fellow will work on multiple projects at different stages of development, contributing to research, engineering, evaluation, project management, user research, stakeholder communication, and written and verbal communication about the projects. 

Potential Projects

Continued development and evaluation of AI products. Two projects are in a mature prototyping stage. For each of these projects, some continued development to add final features and integrate into agency systems is necessary. However, the bulk of the work will be in testing and evaluation of these tools. The fellow will work with agency partners to develop and execute testing plans that assess accuracy, completeness, bias, agency workflow impact, and other elements of tool performance. 

  • Project one: Public comment analysis. LLMs are used via a webapp interface to analyze and organize public comments giving feedback to NJ government entities. 

  • Project two: Interview and case summarization. LLMs are used to transcribe and summarize interviews as part of a critical agency process. Further information on cases is integrated into the LLM system so that users can easily find reliable information about a case.

Prototyping LLM products. Several projects need earlier-stage development work, including

  • A tool to suggest content and design revisions for readability and accessibility
Creating guides, demos, and communication around LLM use. The fellow may also contribute to guides targeted to state employees, with instructional material on using LLMs for tasks such as translation, data analysis, and content generation and revision. These guides and other work products will be communicated via demos,  and through written and verbal means.
Experience, Skills, and Abilities
  • Relevant education background: Currently pursuing or recently graduated from a graduate program in computer science, data science, engineering, and related disciplines. Strong applicants who are recently or are currently graduating with a bachelor's degree will also be considered.
  • Demonstrated experience with developing, deploying, or evaluating digital tools involving large language models (LLMs), including through cloud-based APIs.
  • Some experience working at all levels of the development stack, including but not limited to: frontend web applications, backend APIs and databases, and cloud infrastructure.
  • Experience with technologies such as: python, modern JavaScript, React, CSS, HTML, JavaScript libraries and frameworks, Amazon Web Services (AWS), SQL and NoSQL document store persistence, and Git/GitHub version control.
  • Research skills, including breaking down complex problems, creating custom evaluation plans, performing research interviews and other qualitative data collection, and data analysis for research outputs.
  • Proven skill in tackling problems with curiosity, engaging in inquiry, and understanding user needs to develop optimal solutions.
  • Dedicated to advancing our mission and public service, with a strong commitment to accessibility and fostering a more inclusive society.
We welcome applicants from a broad range of backgrounds. If you have any questions, please contact [email protected].

Compensation: Paid, hourly wage of $20-30 per hour dependent upon experience. 
 
Entity: This role will be hired by InnovateNJ - a fiscally-sponsored partner project of the National Center for Civic Innovation that exists to advance NJIA's work and impact.

We are proud to be an equal opportunity employer
We are deeply committed to the principles of equity, diversity, and inclusiveness and seek to create a pluralistic community for all. We strongly encourage people of color, members of racial and ethnic minority groups, women, LGBTQI+ people, those with disabilities, and Veterans to apply. We are committed to building a team that is reflective of New Jersey's incredible diversity.
 
We do not discriminate against any candidate because of color, race, age, religion, sex, gender identity or expression, sexual orientation, membership in an employee organization, pregnancy, marital status, status as a parent, ancestry, national origin, disability (physical or mental), family medical history or genetic information, political affiliation, military service, retaliation, or other non-merit based factors.
Eligibility
You must be authorized to work in the United States. Candidates may be required to pass a background check and complete additional steps as part of the application and onboarding process. You will be considered an "at-will" employee, meaning both employer and employee have the right to terminate employment with or without cause or notice.
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