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Ai Test Engineer Jobs in Riverside, CA (NOW HIRING)

Medium

Senior Software Engineer in Test

Irvine, CA · On-site

$157 - $185/hr

Field AI is transforming how robots interact with the real world. We are building risk‑aware ... test infrastructure with the exact same engineering rigor as production code. * Embed directly ...

FieldAI

Senior Software Engineer in Test

Irvine, CA · On-site

$155 - $185/hr

Field AI is transforming how robots interact with the real world. We are building risk‑aware ... test infrastructure with the exact same engineering rigor as production code. * Embed directly ...

Noor Staffing Group

SDET, Remote opportunity

Irvine, CA · On-site +1

$130K - $145K/yr

AI-first team where tooling and process are built around accelerating delivery * Competitive salary ... T work * Strong coding skills in TypeScript/JavaScript, Python, Java, or C#, with hands-on ...

Marvell

HSIO Test Solutions Engineering Lead

Irvine, CA · On-site

$51 - $69.50/hr

Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling ... Your Team, Your Impact Marvell's Test Solutions Engineering (TSE) organization is seeking an ...

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All JobsAi Test Engineer JobsAi Test Engineer Jobs in Riverside, CA

Ai Test Engineer information

See Riverside, CA salary details

$18

$46

$77

How much do ai test engineer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for ai test engineer in Riverside, CA is $46.16, according to ZipRecruiter salary data. Most workers in this role earn between $34.86 and $54.66 per hour, depending on experience, location, and employer.

What is the difference between Ai Test Engineer vs Data Scientist?

AspectAi Test EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; knowledge of testing toolsBachelor's or higher in CS, Statistics, or related; proficiency in data analysis
Work EnvironmentSoftware testing teams, AI development projectsData analysis teams, AI research projects
Employer & Industry UsageTech companies, AI startups, software firmsTech companies, finance, healthcare, research institutions
Common Search & ComparisonOften compared for roles in AI testing and quality assuranceCompared for data analysis and AI model development roles

While both roles work within AI and tech environments, Ai Test Engineers focus on testing and validating AI systems, ensuring quality and performance. Data Scientists analyze data to develop models and insights. The roles are complementary but distinct in their core responsibilities.

What is an AI test engineer?

AI Test Engineers are professionals who design, develop, and execute tests to evaluate the performance, accuracy, and reliability of artificial intelligence systems and machine learning models. They work closely with data scientists and software developers to ensure AI solutions function as intended, identifying bugs, biases, and potential risks in algorithms. Their responsibilities often include creating test cases, automating test processes, and analyzing results to improve AI system quality and compliance.

What are some common challenges AI test engineers face when validating machine learning models?

AI Test Engineers often encounter challenges such as ensuring the quality and fairness of machine learning models, identifying edge cases that the model may not handle well, and working with limited labeled data for testing. Additionally, interpreting test results can be complex due to the probabilistic nature of AI outputs, requiring close collaboration with data scientists to understand model behaviors. Effective communication and a strong foundation in both software testing and AI concepts are essential to address these challenges and ensure reliable AI solutions.

What are the key skills and qualifications needed to thrive as an AI test engineer?

To thrive as an AI Test Engineer, you need a strong background in computer science, software testing methodologies, and a good understanding of machine learning concepts, often supported by a relevant degree. Familiarity with programming languages like Python, testing frameworks such as pytest, and tools like TensorFlow or PyTorch, along with certifications in software testing or AI, are typically required. Analytical thinking, attention to detail, and effective communication set top performers apart in this role. These skills and qualities are crucial for ensuring the reliability, accuracy, and ethical deployment of AI systems.

What are popular job titles related to Ai Test Engineer jobs in Riverside, CA?

For Ai Test Engineer jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Ai Test Engineer jobs in Riverside, CA look for?

The top searched job categories for Ai Test Engineer jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Ai Test Engineer jobs?

Cities near Riverside, CA with the most Ai Test Engineer job openings:

Ai Test Engineer jobs near you
Infographic showing various Ai Test Engineer job openings in Riverside, CA as of July 2026, with employment types broken down into 8% Internship, 74% Full Time, and 18% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $96,009 per year, or $46.2 per hour.

Senior Software Engineer in Test

Medium

Irvine, CA • On-site

$157 - $185/hr

Other

Posted 11 days ago

Job description

Field AI is transforming how robots interact with the real world. We are building risk‑aware, reliable, and field‑ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data‑driven approaches or pure transformer‑based architectures, and are charting a new course, with already‑globally‑deployed solutions delivering real‑world results and rapidly improving models through real‑field applications.

$157,000 - $185,000 a year

What You’ll Get to Do
  • Design, build, and maintain a scalable automated testing framework using Playwright and TypeScript, treating test infrastructure with the exact same engineering rigor as production code.
  • Embed directly within Product Engineering teams, shifting testing left by collaborating during the technical design phase to define test strategies and data-testid selectors before features are coded.
  • Own the continuous delivery (CD) gateway, optimizing Playwright parallelization, sharding, and containerization to keep PR build times fast, stable, and clear of flaky tests.
  • Bridge the gap between cloud services and robotics simulation, writing end-to-end tests that mock, stub, or interact with simulated robot APIs to validate complex mission-scheduling and data-ingestion workflows.
  • Architect robust test-data management strategies, implementing efficient setup and teardown hooks to ensure test environments remain pristine across high-frequency browser and API test runs.
  • Build observability and reporting tooling (e.g., custom Playwright reporters or dashboards) that gives engineering teams immediate, actionable visibility into regressions and product health.
What You Have
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent professional experience).
  • 5-8 years of experience.
  • Strong software engineering fundamentals, with professional experience writing clean, maintainable code in TypeScript, JavaScript, or another modern object‑oriented/functional language.
  • Deep hands‑on experience with Playwright, including advanced patterns like Page Object Models, network interception/mocking, custom fixtures, and multi‑auth state handling.
  • A "shift-left" engineering mindset, with a proven track record of embedding with developers, reviewing PRs for testability, and advocating for automated coverage over manual QA.
  • Solid understanding of modern web architectures and APIs, including the ability to debug network calls, inspect DOM elements, and write automated tests directly against REST or GraphQL APIs.
  • Experience managing CI/CD pipelines (e.g., GitHub Actions, GitLab CI, CircleCI) and integrating automated test execution seamlessly into developer delivery workflows.
The Extras That Set You Apart
  • Experience building Playwright infrastructure for large or complex products, such as microfrontend architectures, real‑time data streaming web apps, or dashboard systems handling high‑frequency state updates.
  • Background working in robotics, IoT, or hardware‑adjacent software spaces, where automated UI/API tests interact with physical devices, hardware emulators, or simulation environments.
  • Advanced Docker and cloud infrastructure experience (AWS/GCP), specifically around scaling test agents or orchestrating localized environments for isolated end‑to‑end testing.
  • Aligning Test Quality with Production Quality by identifying testing gaps and improve product observability.
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