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

Origence

Sr. Platform Engineer

Irvine, CA · On-site

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

Esri

Sr. Web Strategist, Digital Experience

Redlands, CA · On-site

$108K - $173K/yr

... generative AI surfaces, and structured content reuse * Collaborate closely with SEO, Conversion ... Keep abreast of usability research, A/B testing, and quarterly performance reports to inform ...

Vesync

Sr. Graphic Designer

Tustin, CA · On-site

$38/hr

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 ...

Vesync

Sr. Graphic Designer

Tustin, CA

$38/hr

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 ...

Edwards Lifesciences

Staff Data Scientist

Irvine, CA · On-site

Our Implantable Heart Failure Management (IHFM) team, part of the AI, Product and Platforms ... Stakeholder partnership, testing & reporting. Partner with internal and external stakeholders to ...

Vesync

Sr. Graphic Designer

Tustin, CA · On-site

$38/hr

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

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How much do generative ai testing jobs pay per hour?

As of Sep 13, 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 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 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 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 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 do I become a Generative AI Testing?

To become a Generative AI Tester, develop skills in machine learning, natural language processing, and programming languages like Python. Gain experience with AI frameworks such as TensorFlow or PyTorch and understand data quality and model evaluation techniques. Relevant certifications and hands-on projects can enhance your qualifications for roles in AI testing environments.

Is Generative AI Testing a good career?

Generative AI Testing is a growing field within AI development, focusing on evaluating the quality and safety of AI-generated content. It requires skills in machine learning, programming, and understanding AI models, often involving tools like Python and TensorFlow. The role offers opportunities in tech companies and research labs, with demand expected to increase as AI applications expand.

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

Sr. Platform Engineer

Irvine, CA • On-site

Origence
Software Development • 201 - 500 employees
Learn more about Origenceexternal

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Shaping the Future of Lending

With 30 years of fintech leadership, Origence empowers credit unions with innovative SaaS lending solutions that make lending more accessible, efficient, and competitive. We invest in our people and foster a culture of innovation, ownership, and continuous improvement. As we help shape the future of lending, we're leveraging AI to enhance the way we work and create value for our clients, and we're seeking individuals who are excited by emerging technologies and eager to use them responsibly to solve problems and drive impact.

The Sr. Platform Engineer will be responsible for designing, building, and maintaining internal tools and platform capabilities that accelerate software delivery across the organization. This is a software engineering role — you will write production-quality code, design APIs, build automation frameworks, and develop self-service tooling applied to platform and infrastructure problems. You will work across CI/CD pipeline engineering, observability platforms, internal developer portals, infrastructure automation, and developer productivity tooling.

The Origence Mindset

At Origence, we are self-aware, adaptable, and relentlessly focused on creating meaningful impact. We think like owners, embrace complexity and ambiguity, challenge conventional thinking, and continuously pursue smarter, more effective ways to solve problems and advance the business. If this mindset reflects who you are, you may be exactly who we're looking for.

How You'll Contribute:

  • Build and maintain YAML-based CI/CD pipeline templates in Azure DevOps used by dozens of teams and hundreds of services.
  • Design and develop internal tools, CLIs, and REST APIs that enable self-service for product development teams (e.g., automated onboarding, pipeline generation, environment provisioning).
  • Write and maintain Terraform modules for Azure cloud infrastructure, including Container Apps, API Management, networking, and disaster recovery.
  • Extend and integrate Datadog monitoring, build custom dashboards, automate alerting, and instrument platform telemetry using OpenTelemetry patterns.
  • Help build and evolve our Internal Developer Portal (IDP) to give developers a unified view of their services, deployments, health, and documentation.
  • Help legacy systems adopt modern CI/CD, Blue/Green deployments, and DR capabilities through template-driven approaches.
  • Build automated compliance gates and security checks that let teams move fast without moving dangerously.
  • Collaborate directly with product developers to understand workflows, reduce friction, and deliver platform capabilities that meet real needs.
  • Spend the majority of your time actively designing and coding. A portion of your time will be spent researching new technology and mentoring other engineers.

What Makes You a Great Fit:

Education

  • Bachelor's degree in Computer Science, Engineering or related industry experience.

Experience

  • A minimum of 5 years of professional software engineering experience — you have built and shipped production applications, not just configured infrastructure.
  • Strong proficiency in at least one general-purpose language: C#/.NET, Python, or TypeScript/Node.js.
  • Experience with software engineering fundamentals: design patterns, automated testing, code review, version control, and CI/CD as a practitioner.
  • Azure cloud experience — working knowledge of Azure services (Container Apps, App Services, Azure DevOps, API Management, or similar).
  • Hands-on experience with Terraform (preferred) or equivalent Infrastructure-as-Code tools.
  • Experience designing and building REST APIs or automation services.
  • Recent experience utilizing Generative AI techniques including GitHub Copilot and Prompt Engineering techniques.

Preferred Experience:

  • Experience building internal developer tools, platforms, or productivity tooling.
  • Datadog, OpenTelemetry, or other observability platform experience.
  • Azure DevOps pipeline authoring (YAML templates, variable groups, service connections).
  • Experience with developer portals (Backstage, Cortex, or similar).
  • Familiarity with containers and orchestration (Docker, Kubernetes, Azure Container Apps).
  • Experience working in a platform engineering, SRE, or developer experience team.
  • PowerShell scripting for Windows-based enterprise environments.
  • Financial services or regulated industry experience.

    Your Strengths & Expertise

    • Ownership and accountability mindset with strong decision-making, communication, and analytical skills.
    • Can effectively lead technical initiatives and collaborate on design/requirements while gathering the necessary information for development.
    • Ability to write clear documentation, explain technical decisions, and collaborate across teams.
    • Knowledge of various LLMs, Agentic AI, RAG, MCP and incorporating these technologies from both automation and feature engineering standpoints.
    • Understanding of Agile methodologies, Domain Driven Design, and event-driven architecture approaches.
    • Deep expertise in their chosen technology stack with broader knowledge of various programming languages, frameworks, and tools.
    • Ability to break up larger projects into individual pieces, assess complexity of each piece, and balance work amongst team members.
    • Ability to work in a fast-paced / flexible environment that practices SAFe / Agile based SDLC.
    • Sets high standards for behavior and performance, models the values and principles of the organization, and inspires others through action.

    Bring your ideas, your curiosity, and your unique perspective. We'll provide the opportunities, tools, and support to help you succeed.

    How We Invest in You:

    • 401(k) with 8% Company Match
    • Flexible Work Environment
    • Competitive Paid Time Off
    • Tuition Reimbursement & Education Benefits
    • Comprehensive Health & Wellness Benefits
    • Microsoft Copilot and AI-Enabled Tools
    • Continuous Learning & Development Opportunities
    • A culture of connection, celebration, and growth through employee-driven programs, company events, holiday celebrations (Star Wars Day), monthly town halls, quarterly company meetings, and team traditions like Bring Your Kid to Work Day

    Recognizing Your Impact

    The starting salary range for this full-time position is $128600 - $160800 per year. We offer competitive compensation designed to recognize the value, experience, and contributions each team member brings to Origence. Base pay is determined by factors including experience, geographic location, and internal equity, and eligible positions may participate in our annual bonus program.

    Origence is an equal opportunity employer. All recruitment, hiring, training, compensation, benefits, discipline, and other terms and conditions of employment will be based upon an individuals’ qualifications regardless of race, religion, color, sex, gender identity, sexual orientation, national origin, ancestry, military service, marital status, pregnancy, age, protected medical condition, genetic information, disability or any other category protected by federal, state or local law.