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

Automate adversarial testing: Build AI-driven frameworks to scale our Red Teaming and vulnerability ... Deep understanding of generative AI systems, including RAG pipelines, large language models, vector ...

Candidates should also bring practical experience using generative AI tools to support research ... Support A/B and multivariate testing initiatives across email, landing pages, and campaign assets.

Sr. AI Engineer & Strategist

Irvine, CA · Remote

$112K - $154K/yr

... edge Generative AI creative engine that disrupts this process-mass-producing stunning, fully ... Establish robust CI/CD, data drift monitoring, automated testing, and evaluation pipelines to ...

Sr. AI Engineer & Strategist

Irvine, CA · Remote

$112K - $154K/yr

... edge Generative AI creative engine that disrupts this process-mass-producing stunning, fully ... Establish robust CI/CD, data drift monitoring, automated testing, and evaluation pipelines to ...

... and validate Generative AI agents and data pipelines, promoting reliability, scalability, and ... Responsibilities - Apply automated testing and governance controls effectively - Analyze complex ...

... 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 ...

Leverage A/B testing approach for assessing SEO initiatives as pilots prior to global scaling ... generative AI results. * Collaborate with Data and Product teams to integrate Xe's API data ...

Experience with software engineering fundamentals: design patterns, automated testing, code review ... Recent experience utilizing Generative AI techniques including GitHub Copilot and Prompt ...

Experience with software engineering fundamentals: design patterns, automated testing, code review ... Recent experience utilizing Generative AI techniques including GitHub Copilot and Prompt ...

Experience with software engineering fundamentals: design patterns, automated testing, code review ... Recent experience utilizing Generative AI techniques including GitHub Copilot and Prompt ...

Experience with software engineering fundamentals: design patterns, automated testing, code review ... Recent experience utilizing Generative AI techniques including GitHub Copilot and Prompt ...

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Generative Ai Testing information

See Riverside, CA salary details

$33

$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:
Staff Security Engineer - AI Security

Staff Security Engineer - AI Security

Rivian

Irvine, CA • On-site

$140K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Rivian rating

7.3

Company rating: 7.3 out of 10

Based on 157 frontline employees who took The Breakroom Quiz

21st of 44 rated automakers


Job description

About Rivian

Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. 

As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. 


Role Summary

As a Security Engineer at Rivian, you will spearhead the adversarial evaluation of our AI-enabled features and internal platforms. This role will operate across Offensive Security, Secure Architecture, and AI/ML. You will act as one of Cybersecurity Assurance’s primary authorities on AI-related risk. You will independently evaluate, challenge, and validate the safety and integrity of these AI initiatives.


You will both break and build, applying attacker mindset & adversarial thinking to challenge the assumptions in our entire AI ecosystem, while simultaneously creating the automated tools and guardrails needed to continuously expose and mitigate critical risks.


Responsibilities

1. Adversarial Evaluation (The "Breaker")

  • AI Red Teaming: Design and execute deep, unconstrained adversarial assessments on our applied AI systems (e.g., voice assistants, RAG services, AI agents), testing safety boundaries and guardrails through offensive security assessments
  • Challenge Assumptions: Push AI guardrail mechanisms beyond their intended limits. Your goal is to determine exactly when and how these controls fail, proving the difference between a system's expected behavior and its actual resilience against an attacker
  • Assess Agentic Workflows: Evaluate multi-agent and LLM-integrated workflows for complex risks such as privilege escalation, unsafe action chaining, direct/indirect prompt injection, and other unintended side effects.

2. Engineering & Automation (The "Builder")

  • Automate adversarial testing: Build AI-driven frameworks to scale our Red Teaming and vulnerability discovery. You will leverage LLMs, anomaly detection, and corpora of attack prompts to enhance our automated coverage.
  • Build Cross-Functional Tooling: Design and operate AI-driven security agents and automated frameworks that amplify the efforts of our broader Cybersecurity organization.
  • Co-Design Defenses: Partner closely with engineering teams to brainstorm, review & validate remediations for the gaps you find


3. Cross-Functional Influence (The "Advocate")

  • Scale AI Security Practices: Threat model AI architectures (LLMs, vector stores, data flows) and build frameworks for continuous AI-driven adversarial testing that scale across all product teams.
  • Proactive Security Research: Stay ahead of the curve. Spend time researching new AI attacks and prototyping guardrails to see if they work in our environment.
  • Foster Security Culture: Collaborate within a cross-functional team to develop relationships, influence senior stakeholders, and drive alignment on AI risk tolerance and mitigation priorities
 

Qualifications
  • Adversarial Mindset: Experience working in Offensive Security, Red Teaming, Vulnerability Research, Penetration Testing or adjacent role, with a demonstrated ability to evaluate complex systems with the mindset of a determined attacker to find meaningful business impact
  • AI/ML Fluency: Deep understanding of generative AI systems, including RAG pipelines, large language models, vector databases, and multi-agent orchestration frameworks, and their specific security failure modes You don't just know what "Indirect Prompt Injection" is, you know how to bypass filters to achieve it.
  • Engineering Proficiency: Hands-on experience building, testing, or securing applications using Python/Go. You are familiar with modern ML frameworks (like PyTorch, Hugging Face, or LangChain) and bring practical experience utilizing specialized AI red teaming tools (such as Garak or PyRIT).
  • Courage & Clarity: You are unafraid to challenge assumptions or expose uncomfortable truths in service of system safety, and skilled at communicating high-impact risks clearly to executives and technical peers
  • Adversarial Depth: Bonus points if you have contributed to the security or AI community through open-source tools, research, or vulnerability disclosures that demonstrate your depth in adversarial thinking

Pay Disclosure

Salary Range for this role is $140,600 - $175,800 for Georgia based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs.

The successful candidate may be eligible for annual performance bonus and equity awards.

We offer a comprehensive package of benefits for full-time and part-time employees, their spouse or domestic partner, and children up to age 26, including but not limited to paid vacation, paid sick leave, and a competitive portfolio of insurance benefits including life, medical, dental, vision, short-term disability insurance, and long-term disability insurance to eligible employees. You may also have the opportunity to participate in Rivian’s 401(k) Plan and Employee Stock Purchase Program if you meet certain eligibility requirements. Full-time employee coverage is effective on their first day of employment. Part-time employee coverage is effective the first of the month following 90 days of employment. More information about benefits is available at rivianbenefits.com.



Equal Opportunity

Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.

Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com.

Candidate Data Privacy

Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. 

Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services. 

Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.  

Please note that we are currently not accepting applications from third party application services.

Qualifications:
  • Adversarial Mindset: Experience working in Offensive Security, Red Teaming, Vulnerability Research, Penetration Testing or adjacent role, with a demonstrated ability to evaluate complex systems with the mindset of a determined attacker to find meaningful business impact
  • AI/ML Fluency: Deep understanding of generative AI systems, including RAG pipelines, large language models, vector databases, and multi-agent orchestration frameworks, and their specific security failure modes You don't just know what "Indirect Prompt Injection" is, you know how to bypass filters to achieve it.
  • Engineering Proficiency: Hands-on experience building, testing, or securing applications using Python/Go. You are familiar with modern ML frameworks (like PyTorch, Hugging Face, or LangChain) and bring practical experience utilizing specialized AI red teaming tools (such as Garak or PyRIT).
  • Courage & Clarity: You are unafraid to challenge assumptions or expose uncomfortable truths in service of system safety, and skilled at communicating high-impact risks clearly to executives and technical peers
  • Adversarial Depth: Bonus points if you have contributed to the security or AI community through open-source tools, research, or vulnerability disclosures that demonstrate your depth in adversarial thinking
Education:UNAVAILABLEEmployment Type: FULL_TIME

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About Rivian

Sourced by ZipRecruiter

Rivian is a pioneering automotive industry player headquartered in Irvine, California. Established in 2009, the company has made notable advancements in developing sustainable transportation solutions. It is widely recognized for its electric adventure vehicles: the R1T pickup and the R1S SUV. Rivian is dedicated to creating a positive shift in societal mobility and emphasizes sustainability, innovation, and adventure as part of its core values. Their mission is to keep the world adventurous forever - a testament to their commitment in transitioning the world to sustainable transportation. Rivian's achievements are numerous, with one of the most notable being securing a significant multi-billion dollar investment from Amazon for the production of electric delivery vans.

Industry

Automobile dealers

Company size

10,000+ Employees

Headquarters location

Irvine, CA, US

Year founded

2009