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

Machine Learning Engineer II

Irvine, CA · On-site

$104K - $143K/yr

... models, and generative AI systems. We are seeking a candidate who has hands-on experience ... Agile software development, test-driven development, unit testing, code reviews, design ...

... testing initiatives • Manage multiple projects simultaneously while meeting deadlines and ... AI-powered creative tools (e.g., generative design, image/video tools, workflow automation) • ...

... testing initiatives • Manage multiple projects simultaneously while meeting deadlines and ... AI-powered creative tools (e.g., generative design, image/video tools, workflow automation) • ...

Hands-on experience with AI-powered creative tools (e.g., generative design, image/video tools ... Familiarity with A/B testing methodologies and performance analytics * Experience working within ...

Hands-on experience with AI-powered creative tools (e.g., generative design, image/video tools ... Familiarity with A/B testing methodologies and performance analytics * Experience working within ...

Hands-on experience with AI-powered creative tools (e.g., generative design, image/video tools ... Familiarity with A/B testing methodologies and performance analytics * Experience working within ...

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Generative Ai Testing information

See Riverside, CA salary details

$33

$56

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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:

Machine Learning Engineer II

Capgroup

Irvine, CA • On-site

$104K - $143K/yr

Full-time

Medical, Life, Retirement

Re-posted 21 days ago


Job description

"I can be myself at work."

You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness-and we're committed to fostering a strong sense of belonging in a respectful workplace.

We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community.

"I can influence my income."

You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You'll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses.

"I can lead a full life."

You bring unique goals and interests to your job and your life. Whether you're raising a family, you're passionate about where you volunteer, or you want to explore different career paths, we'll give you the resources that can set you up for success.

  • Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options

  • Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love

  • Access on-demand professional development resources that allow you to hone existing skills and learn new ones

"I can succeed as a Machine Learning Engineer at Capital Group"

As a Machine Learning Engineer at Capital Group, you will create, research, implement, and maintain state of the art machine learning models, data pipelines, and analytical systems to significantly enhance our investment processes and outcomes. You will conduct applied research into financial modeling to help our investment professionals make better decisions. In this role, you will collaborate directly with senior investment professionals and fellow technology associates to enhance our investment process through the use of state-of-the art ML techniques.

In this role you will work with a high performing team of applied scientists, machine learning engineers, and software development engineers that has delivered a number of AI/ML systems to production, including machine learning systems, data pipelines, financial models, and generative AI systems. We are seeking a candidate who has hands-on experience architecting and delivering working systems and who is passionate about leveraging modern machine learning and software engineering innovations to produce superior long-term investment outcomes.

"I am the person Capital Group is looking for."

  • You will design, research, build, deliver and operate machine learning systems, data pipelines, and financial models which demonstrably improve the efficiency and effectiveness of CG's investment process by making investment decisions.

  • You successfully research, train, evaluate and deploy models for financial modeling and data analysis from inception to deployment and operation.

  • You uphold a high standard of quality in your work, ensuring integrity in both form and function.

  • You write clear, efficient, and performant code.

  • You collaborate effectively to support team strategy, contributing to decisions regarding modeling and technology.

  • You proactively identify and tackle the root causes of endemic modeling problems, collaborating with cross-functional teams to implement sustainable solutions.

  • You work with a sense of urgency, and design and build simple and pragmatic solutions which solve complex problems.

Qualifications:

  • You have 3+ years of experience with Python and SQL. Strong object-oriented or functional design skills with understanding of common design patterns.

  • You have a demonstrated track record in one or more machine learning subfield relevant to financial modeling, such as time series analysis, quantitative modeling, optimization, anomaly detection, or predictive analytics.

  • You have experience solving "full stack" machine learning problems, from data collection and ETL development to model training and deployment, and experience using machine learning to solve real business problems in finance or investment management.

  • You are strong communicator with the ability to establish and maintain a close working relationship with distributed team members and business partners.

  • You possess strong computer science fundamentals including data structures, algorithms, and complexity analysis.

  • You have knowledge of software engineering best practices (e.g. Agile software development, test-driven development, unit testing, code reviews, design documentation).

  • You have a track record of successfully delivering enterprise-grade models into production.

  • You have experience with AWS services (S3, containers - ECS & EKS, Lambda) preferred.

"I can apply in less than 4 minutes."

You've reviewed this job posting and you're ready to start the candidate journey with us. Apply now to move to the next step in our recruiting process. If this role isn't what you're looking for, check out our other opportunities and join our talent community.

"I can learn more about Capital Group."

At Capital Group, the success of the people who invest with us depends on the people in whom we invest. That's why we offer a culture, compensation and opportunities that empower our associates to build successful and prosperous careers. Through nine decades, our goal has been to improve people's lives through successful investing. We know that our history is a testament to the strength of the people we hire. More than 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day. Find us on LinkedIn, Instagram, YouTube and Glassdoor.

Southern California Base Salary Range: $159,354-$254,966Seattle Base Salary Range: $159,354-$254,966

In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings.

You can learn more about our compensation and benefits here.

* Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans.


We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.