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

Cognizant Technology Solutions

Test Lead

Lake Forest, CA · On-site

$50.50 - $68.75/hr

Mentor junior testers by sharing best practices in API testing Generative AI validation and domain specific testing for Product Lifecycle Management use cases * Align daily testing activities with ...

Essc

AI Software Developer

Irvine, CA · On-site

Responsible for designing and implementing generative AI solutions using Copilot Studio and Azure ... Must pass all drug testing required by ESSC. Carrying/Lifting: Occasional / 0-30 lbs Standing:

Capgroup

Senior Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

You will join ahigh-performingteam of ML engineers and software engineers building Generative AI ... Maintain a high bar for code quality, testing, clarity, and reliability. * Contribute to ...

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Generative Ai Testing information

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$56

$79

How much do generative ai testing jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for generative ai testing in Riverside, CA is $56.05, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $64.18 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 job categories do people searching Generative Ai Testing jobs in Riverside, CA look for? The top searched job categories for Generative Ai Testing jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Generative Ai Testing jobs? Cities near Riverside, CA with the most Generative Ai Testing job openings:
Generative Ai Testing jobs near you
Product Engineer II - Generative AI, ArcGIS Enterprise

Product Engineer II - Generative AI, ArcGIS Enterprise

Esri

Redlands, CA • On-site

Other

Re-posted 12 days ago

Esri rating

9.5

Company rating: 9.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

6th of 205 rated software companies

Job description

Overview

Join our team in building the next generation of AI capabilities in ArcGIS Enterprise, a suite of products delivering state-of-the-art mapping and analytics capabilities to millions of users worldwide. Our team builds cutting-edge, highly scalable, and reliable distributed software for on-premises and cloud environments. Our software is used to make maps, geographic information, and analyses available on any device, anywhere, at any time.

As a product engineer, you are integral to delivering high-quality software working with our cross-functional global team of product engineers and developers. You will be actively involved with designing, testing and delivering next generation AI capabilities in ArcGIS Enterprise using software development and quality assurance practices.

If you are passionate about software quality, geospatial technology, AI and can develop a deep understanding of our products and customer needs, this is the place to be.

Responsibilities

  • Contribute to the development, deployment and maintenance of AI frameworks, services, applications and models 
  • Collaborate with cross-functional teams to deliver AI based services and servers in ArcGIS Online, Enterprise and cloud platforms
  • Triage, troubleshoot and address reported issues in the software
  • Ensure software quality and participate in software security reviews
  • Communicate project status regularly to the team

Requirements

  • 2+ years of Python or Java programming experience
  • Experience with SDLC, source control and agile practices for project management
  • Experience with containers, Kubernetes, and cloud environments (AWS/Azure/GCP)
  • Knowledge of Generative AI concepts and techniques
  • Excellent problem-solving and analytical skills
  • Effective time management, and organizational skills
  • Good written and verbal communication skills
  • Bachelor's degree in GIS, geography, engineering, computer science, or related fields

Recommended Qualifications

  • Experience with ArcGIS Enterprise, ArcGIS Online or other geospatial technology
  • Familiarity with performance monitoring (JMeter), testing tools and frameworks (Pytest, JUnit)
  • Experience working with Linux and Windows operating systems

#LI-TA1

#LI-Onsite

What Esri employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969

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