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

Infosys

Oracle Cloud Finance AI Consultant

Pennington, NJ · On-site

$114K - $148K/yr

... Generative AI use cases using Oracle Fusion AI Studio and OCI Generative AI Services. • ... including testing, evaluation, monitoring, and model performance tracking. Preferred Skill and ...

Campbell's

Data Engineer, DA&AI Co-Op

Camden, NJ

$115K - $138K/yr

Prototype AI Agents: Assist in building and testing AI agents designed to automate internal ... Hands-on training in Generative AI and Agentic technologies. * Mentorship from senior AI Engineers ...

Campbell Soup Company

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

Prototype AI Agents: Assist in building and testing AI agents designed to automate internal ... Hands-on training in Generative AI and Agentictechnologies. * Mentorship from senior AI Engineers ...

Campbell's

Data Engineer, DA&AI Co-Op

Camden, NJ

$115K - $138K/yr

Prototype AI Agents: Assist in building and testing AI agents designed to automate internal ... Hands-on training in Generative AI and Agentic technologies. * Mentorship from senior AI Engineers ...

Campbell Soup Company

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

Prototype AI Agents: Assist in building and testing AI agents designed to automate internal ... Hands-on training in Generative AI and Agentictechnologies. * Mentorship from senior AI Engineers ...

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 ...

Campbell's

Data Engineer, DA&AI Co-Op

Camden, NJ

$115K - $138K/yr

Prototype AI Agents: Assist in building and testing AI agents designed to automate internal ... Hands-on training in Generative AI and Agentic technologies. * Mentorship from senior AI Engineers ...

Campbell Soup Company

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

Prototype AI Agents: Assist in building and testing AI agents designed to automate internal ... Hands-on training in Generative AI and Agentictechnologies. * Mentorship from senior AI Engineers ...

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Generative Ai Testing information

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$32

$54

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How much do generative ai testing jobs pay per hour?

As of Jul 25, 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.

How much do AI testers get paid?

AI testers, involved in evaluating and validating generative AI models, typically earn salaries ranging from $60,000 to $120,000 annually depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in machine learning and data analysis can earn higher wages.

Is AI testing a good career?

AI testing, including roles like Generative AI Testing, is a growing field with increasing demand for skills in machine learning, data analysis, and software quality assurance. It offers opportunities in tech companies, research labs, and startups, often requiring knowledge of AI frameworks and testing tools. The career can be stable and rewarding for those with technical expertise and an interest in AI 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 is the salary of generative AI tester?

The salary of a generative AI tester typically ranges from $70,000 to $120,000 annually, depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in AI and machine learning can earn higher salaries. Certifications in AI or related fields can also influence compensation.

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.

How do I become an AI tester?

To become an AI tester, you should have a strong understanding of machine learning concepts, programming skills in languages like Python, and experience with data annotation and model evaluation. Familiarity with AI tools, testing frameworks, and quality assurance processes is also important. Gaining relevant certifications or training in AI and software testing can enhance your qualifications.

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
Oracle Cloud Finance AI Consultant

Oracle Cloud Finance AI Consultant

Infosys

Pennington, NJ • On-site

$114K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Infosys rating

7.4

Company rating: 7.4 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

107th of 213 rated it services

Job description


In the assigned Job Role of Package Consultant 3, your Area Of Responsibility will be as below:
• Analyze complex business processes to identify optimization opportunities and draft detailed requirement specifications that align with enterprise architecture standards
• Define and develop solution architecture, steering customization and integration efforts based on thorough business analysis
• Design and implement advanced customizations basis ERP platform's capabilities and limitations and develop critical software applications in collaboration with the development team
• Develop and implement complex integration workflows to connect the ERP system with external applications, while leading large-scale data migration strategies to ensure data integrity
• Implement advanced performance optimization strategies focused on scalability, reliability, and user experience, while leading compliance initiatives throughs audits, to uphold security protocols and industry standards
• Develop detailed documentation for complex ERP customizations and lead training workshops tailored to various user groups, to ensure effective knowledge transfer
Your contribution to the team:
• Expertise in ERP systems, architecture, and advanced customization techniques
• Ability to design complex integration solutions and guide large-scale data migrations
• Proactive problem-solving to streamline complex requirements
• A strategic mindset to align technical solutions with business goals and market trends.
• Deep understanding of compliance requirements, security protocols, and performance optimization methodologies
• Sector specific expertise for high quality project delivery
EEO/About Us
Benefits
Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:
  • Medical/Dental/Vision/Life Insurance
  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
  • Paid holidays plus Paid Time Off

About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.
Required Skill and Experience
• Experience in Oracle Cloud Financials (GL, AP & AR)
• Experience in Oracle Cloud AI Apps for ERP.
• Experience designing, building, and deploying Generative AI use cases using Oracle Fusion AI Studio and OCI Generative AI Services.
• Experience in AI/ML, Generative AI, Agentic AI, automation, and Oracle Fusion ERP, including General Ledger (GL), Accounts Payable (AP), and Fixed Assets (FA).
• Experience with GL, AP, FA, RMC, OAC, and related modules, enabling the evaluation, customization, and implementation of Oracle Embedded AI, Generative AI, and AI Agent Studio capabilities.
• Experience with Oracle Embedded AI, AI Agent Studio, and prompt engineering.
• Experience building AI-driven solutions on OCI, including Generative AI, Data Science, Functions, API Gateway, and Vault.
• Experience with Oracle Integration Cloud (OIC).
• Experience with security models, identity and access management (IAM), role-based access control (RBAC), and compliance with SOX and financial controls.
• Experience supporting the MLOps lifecycle, including testing, evaluation, monitoring, and model performance tracking.
Preferred Skill and Experience
• Experience with OAC, Redwood UI, or other Oracle extensibility frameworks.
• Experience in prompt engineering, model tuning, evaluation pipelines, and operational governance.
• Experience in CI/CD pipelines, automated testing, and deployment processes.
• Experience in optimizing AI workloads for cost, performance, and security.
Additional Required Qualifications
• Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• All applicants authorized to work in the United States are encouraged to apply.
Overview
The Infosys Oracle unit is a global leader in providing comprehensive Oracle services that accelerate business growth and digital transformation. With over 25 years of experience, our team of experts delivers innovative solutions across various industry verticals, leveraging Oracle's advanced technologies to drive operational efficiency and business resilience. We specialize in Oracle Cloud applications, helping enterprises become cloud-connected and achieve sustainable success. Join us to be part of a team that is at the forefront of Oracle innovation, enabling organizations to maximize their return on investment, reduce costs, and solve real-world challenges through cutting-edge Oracle solutions.

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