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

First American

Vice President, Engineering

Santa Ana, CA

$187K - $241K/yr

Define patterns for integrating AI/ML and generative AI capabilities into applications * Lead ... Ensure strong SDLC practices (testing, CI/CD, release engineering) * Drive engineering ...

Capgroup

Software Development Engineer III

Irvine, CA · On-site

$61.75 - $83/hr

As we expand our use of Generative AI and emerging AI-driven capabilities, you will help shape how ... You uphold disciplined engineering practices, including automated testing, CI/CD, observability ...

Capital Group

Software Development Engineer III

Irvine, CA · On-site

$61.50 - $82.50/hr

As we expand our use of Generative AI and emerging AI-driven capabilities, you will help shape how ... You uphold disciplined engineering practices, including automated testing, CI/CD, observability ...

Planet DDS

Data Engineer IV

Irvine, CA

$118K - $165K/yr

... generative AI applications across product and operations. * Lead the design of a modern data ... testing frameworks. * Mentor and coach junior and mid-level data engineers, fostering a culture of ...

Capital Group

Architect Lead

Irvine, CA · On-site

$59 - $80.75/hr

... Generative AI and Machine Learning. You will also be responsible for identifying and evaluating ... This position requires a practical approach to testing and validating solutions in lab environments ...

Capgroup

Architect Lead

Irvine, CA

$59.25 - $81.25/hr

... Generative AI and Machine Learning. You will also be responsible for identifying and evaluating ... This position requires a practical approach to testing and validating solutions in lab environments ...

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

Generative Ai Testing information

See Riverside, CA salary details

$33

$56

$79

How much do generative ai testing jobs pay per hour?

As of Jun 12, 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 programming. 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 and quality assurance.

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 a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or executive positions, often requiring advanced skills, extensive experience, and sometimes specialized certifications. These roles usually involve leading AI development projects, strategic planning, and overseeing AI teams in large organizations or tech companies.

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 development tools and testing frameworks, along with attention to detail, is essential for identifying issues in AI systems.

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 popular job titles related to Generative Ai Testing jobs in Riverside, CA? For Generative Ai Testing jobs in Riverside, CA, the most frequently searched job titles are:
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
Senior Clinical Data Scientist

Senior Clinical Data Scientist

Edwards Lifesciences Corporation

Irvine, CA • On-site

$108K - $153K/yr

Full-time

Posted 28 days ago

Edwards Lifesciences rating

8.3

Company rating: 8.3 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

64th of 518 rated manufacturers

Job description

Imagine how your ideas and expertise can change a patient's life. We generate extensive clinical evidence to demonstrate the effectiveness and safety of our innovations and how our products transform patients' lives. As part of our Clinical Affairs team, you'll hone your scientific curiosity and passion for evaluating data to increase access to pioneering technologies for patients in need. In close partnership with principal investigators, dedicated medical professionals, patient advocacy groups, and regulatory authorities, you will drive the evidence needed to optimize patient outcomes.
Aortic stenosis impacts millions of people globally, yet it often remains under-diagnosed and undertreated. Edwards' groundbreaking work in transcatheter aortic heart valve replacement (TAVR) pioneered an innovative, life-changing solution for patients by offering heart valve replacement without the need for open heart surgery. Our Transcatheter Heart Valve (THV) business unit continues to partner with cardiologists and clinical teams to transform patient care with devices supported by clinical evidence. It's our driving force to help patients live longer and healthier lives. Join us and be part of our inspiring journey.
The Senior Clinical Data Scientist - THV will drive measurable business and program impact by applying advanced analytics, machine learning, and generative AI to deliver high-value insights and data-driven recommendations. This role partners across diverse stakeholders to optimize decision-making, enhance model performance, and innovate with emerging AI capabilities-including large language models (LLMs) and AI-assisted development tools.
This is an on-site role based in our corporate headquarters in Irvine, CA. Selected candidate must reside in Local Region.
You will make an impact by:
  • Design, build, test, and optimize advanced machine learning models-including NLP, deep learning, and large language models-to support strategic use cases and business outcomes.
  • Develop and refine complex algorithms; evaluate model results; generate actionable recommendations; and communicate findings to both technical and non-technical audiences.
  • Analyze, interpret, and report on complex data sets, algorithmic outcomes, and ML performance metrics.
  • Cleanse, label, and validate both structured and unstructured data, ensuring accuracy, completeness, and model readiness.
  • Experiment with new data sources and integrations to improve model performance and operational efficiency.
  • Identify and implement analytics tools and platforms (Python, SQL, Power BI, etc.) to elevate the data science tech stack and accelerate productivity.

What you'll need (Required):
  • Bachelor's Degree in a related field (e.g., Computer Science, Engineering, Biostatistics, or a Scientific field), 4 years of previous experience
  • Master's Degree or equivalent in in related field (e.g. Computer Science, Engineering, Biostatistics or Scientific), 3 years' experience including either industry or industry/education
  • Experience with cloud services (e.g., AWS and Snowflake)
  • Experience with machine learning techniques (e.g., clustering, decision tree learning, artificial neural networks, etc.) such as Boosting Model and Decision Forests
  • Experience with Large Language Model (LLM) and Natural Language Processing (NLP)
  • Experience using statistical computer languages (e.g, R, Python, SQL, etc.) to manipulate large data sets
  • Experience with Electronic Health Record

What else we look for (Preferred):
  • Leverage generative AI tools (e.g., Github Copilot and Python LLM frameworks) to accelerate exploration, prototyping, and automation across data science workflows.
  • Use AI-assisted coding tools (e.g., GitHub Copilot, SQL copilots, and generative Python assistants) to streamline development, documentation, and testing workflows.
  • Author and maintain detailed design control documents, including algorithm requirements, validation plans, and risk assessment documentation.
  • Support internal and external partners with analytics methodology, metrics, and reporting best practices.
  • Work cross-functionally with engineering, product, clinical, commercial, and external partners to translate business needs into robust analytical solutions.
  • Provide technical guidance and mentorship to peers and partner teams on ML, LLMs, and responsible AI practices.

Aligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families.
For California (CA), the base pay range for this position is $108,000 to $153,000 (highly experienced).
The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience). Applications will be accepted while this position is posted on our Careers website.
Edwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities.
COVID Vaccination Requirement
Edwards is committed to protecting our vulnerable patients and the healthcare providers who are treating them. As such, all patient-facing and in-hospital positions require COVID-19 vaccination. If hired into a covered role, as a condition of employment, you will be required to submit proof that you have been vaccinated for COVID-19, unless you request and are granted a medical or religious accommodation for exemption from the vaccination requirement. This vaccination requirement does not apply in locations where it is prohibited by law to impose vaccination.

What Edwards Lifesciences employees say

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Hours and flexibility

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About Edwards Lifesciences

Sourced by ZipRecruiter

Edwards Lifesciences is the global leader in patient-focused medical innovations for structural heart disease, as well as critical care and surgical monitoring. Driven by a passion to help patients, the company collaborates with the world's leading clinicians and researchers to address unmet healthcare needs, working to improve patient outcomes and enhance lives. Headquartered in Irvine, California, Edwards Lifesciences has extensive operations in North America, Europe, Japan, Latin America and Asia and currently employs over 15,000 individuals worldwide. For us, helping patients is not a slogan - it's our life's work. From developing devices that replace or repair a diseased heart valve to creating new technologies that monitor vital signs in the critical care setting, we focus on helping patients regain and improve the quality of their life.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Irvine, CA, US

Year founded

1958

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