ZipRecruiter

Log In

1

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

Redolent, Inc.

US_East | Data Engineer_L3

Philadelphia, PA · On-site

$115K - $138K/yr

... Generative AI, and Knowledge Graphs. Machine Learning & AI Development • Develop and optimize ... Testing). • Experience with collaborative software engineering practices (Agile, DevOps). • ...

BakerHostetler

Innovation Analyst

Philadelphia, PA

Develop, test and deploy complex prompts, prompt chains, workflows, and automation to improve the accuracy, consistency, and usability of generative AI outputs. * Conduct prompt testing and quality ...

Pwc

US Tech - AI Engineering Manager

Philadelphia, PA · On-site

$73K - $244K/yr

The Opportunity As part of the People Tech & AI team you will lead teams delivering governed Generative AI solutions, designing testing strategies, evaluation frameworks, and governance controls to ...

Anaplan

Principal Engineer, AI

Philadelphia, PA

Lead the architecture, design, and deployment of scalable Generative AI and Machine learning ... Proficiency in Python and modern software development practices (testing, code review, CI/CD)

Five Below, In.c

Solutions Architect - AI

Philadelphia, PA

$63.50 - $83.75/hr

Develop reference architectures, patterns, and standards for AI/ML and Generative AI solutions ... Lead AI red-teaming and adversarial testing exercises to proactively identify and remediate ...

Five Below

Solutions Architect - AI

Philadelphia, PA · On-site

$60.25 - $79.25/hr

Develop reference architectures, patterns, and standards for AI/ML and Generative AI solutions ... Lead AI red-teaming and adversarial testing exercises to proactively identify and remediate ...

Anaplan

Senior Data Engineer - AI

Philadelphia, PA

$105K - $144K/yr

Contribute to the data architecture, design, and deployment of scalable Generative AI and Machine ... Experience with A/B testing and experimentation frameworks for AI features. * Experience with model ...

Five Below

Solutions Architect - AI

Philadelphia, PA · On-site +1

$60.25 - $79.25/hr

Develop reference architectures, patterns, and standards for AI/ML and Generative AI solutions ... Lead AI red-teaming and adversarial testing exercises to proactively identify and remediate ...

next page

Showing results 1-20

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
Data Scientist MLOps (MLflow, Kubeflow, Airflow)

Data Scientist MLOps (MLflow, Kubeflow, Airflow)

TekCommands Inc

Philadelphia, PA • On-site

Contractor

Posted 23 days ago

Job description

-Required Skills & Qualifications
• 5+ years of experience in Data Science, Machine Learning, or related fields.
• Strong expertise in Python, SQL, and modern ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
• Experience with MLOps tools (MLflow, Kubeflow, Airflow) for model deployment and monitoring.
• Proficiency in cloud platforms (GCP) and scalable data engineering.
• Experience implementing and testing recommendation engines.
• Experience with Knowledge Graphs and their integration into AI/ML pipelines.
• Strong understanding of probability theory, statistics, and experimental design (A/B Testing).
• Experience with collaborative software engineering practices (Agile, DevOps).
• Bachelor's or Master’s degree in Computer Science, Mathematics, Engineering, or related field.
Preferred Qualifications
• Background in Retail and Personalization Web Technologies.
• Hands-on experience in LLMs (e.g., GPT, BERT, LLaMA, Claude) and Generative AI technologies.
• Understanding of client’s digital ecosystem and data-driven decision-making.
• Proficiency in business intelligence (BI) tools and data visualization.