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Ai Tester Jobs in San Ramon, CA (NOW HIRING)

Resolve AI is solving this by building a transformative, truly autonomous AI Production Engineer ... You'll run point on execution, from daily project scrums to technical onboarding, testing, rollout ...

Agentic AI Engineer

San Francisco, CA · On-site

$100 - $130/hr

Integrate AI agents with APIs, SaaS platforms, and internal systems ... Improve agent reliability through evaluation, testing, monitoring, and guardrails. * Optimize agent ...

Staff AI Engineer

Menlo Park, CA · On-site

$190 - $270/hr

Own the safety and evaluation bar across model evaluation, safety testing, and observability ... If you're an AI engineer who thrives at the intersection of cutting‑edge research and ...

At Scout AI, we're developing Fury, the first robotic foundation model for defense, to give U.S ... Be obsessed with evaluation: design benchmarks, metrics, and testing methodologies that enable ...

At Scout AI, we're developing Fury, the first robotic foundation model for defense, to give U.S ... Be obsessed with evaluation: design benchmarks, metrics, and testing methodologies that enable ...

... with AI tools like Continue.Dev and Claude Models to enhance testing and development processes. Database Tools and Platforms • Hands-on experience working with Oracle and PostgreSQL databases ...

Lead full project lifecycles: scoping, solution design, development, implementation, testing, deployment, and iteration. * Integrate and optimize AI/ML pipelines, including data preprocessing, prompt ...

Showing results 21-40

Ai Tester information

See San Ramon, CA salary details

$12

$42

$70

How much do ai tester jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for ai tester in San Ramon, CA is $42.87, according to ZipRecruiter salary data. Most workers in this role earn between $23.89 and $56.68 per hour, depending on experience, location, and employer.

What is an AI tester?

An AI Tester is responsible for evaluating artificial intelligence systems to ensure they function correctly, efficiently, and ethically. They design and execute test cases, identify flaws or biases, and verify that AI models meet performance standards. AI Testers work with developers and data scientists to improve AI reliability and user experience. Their role is crucial in preventing errors, reducing risks, and ensuring AI models make accurate and fair decisions.

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

To thrive as an AI Tester, you need a background in computer science, experience with software testing methodologies, and a solid understanding of artificial intelligence technologies. Familiarity with testing tools (such as Selenium, Jupyter notebooks, or TensorFlow testing frameworks), programming languages like Python, and relevant certifications (e.g., ISTQB) are highly advantageous. Attention to detail, problem-solving abilities, and strong communication skills help AI Testers identify and articulate issues effectively. These skills ensure AI systems are reliable, accurate, and deliver expected outcomes in real-world applications.

What are some typical challenges faced by AI testers in their daily work?

AI Testers often encounter challenges such as managing and testing large, complex datasets, handling rapidly evolving algorithms, and ensuring consistent test coverage across various real-world scenarios. They must also validate that AI models are free from bias and produce accurate, reproducible results under different conditions. Overcoming these challenges requires both technical proficiency and adaptability. Collaboration with data scientists, developers, and product managers is common, and testers frequently update their testing approaches to keep pace with the fast changes in AI technology.

Can I get an AI Tester job with no experience?

Entry-level AI Tester positions often do not require prior experience, but having basic knowledge of programming, testing tools, and AI concepts can improve your chances. Many employers offer training or are willing to hire candidates with relevant skills or certifications, such as in software testing or machine learning fundamentals.

How do you become an AI tester?

To become an AI tester, you typically need a background in computer science, software testing, or related fields, along with knowledge of machine learning and AI concepts. Gaining experience with programming languages like Python and familiarity with testing tools and frameworks are also important. Certifications in software testing or AI can enhance your qualifications and job prospects.

How much do AI testers make?

AI testers typically earn between $50,000 and $100,000 annually, depending on experience, location, and the complexity of the projects. Entry-level positions may start lower, while experienced testers with skills in automation tools and programming can earn higher salaries.

What are the most commonly searched types of Ai Tester jobs in San Ramon, CA?

The most popular types of Ai Tester jobs in San Ramon, CA are:

What are popular job titles related to Ai Tester jobs in San Ramon, CA?

For Ai Tester jobs in San Ramon, CA, the most frequently searched job titles are:

What job categories do people searching Ai Tester jobs in San Ramon, CA look for?

The top searched job categories for Ai Tester jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Ai Tester jobs?

Cities near San Ramon, CA with the most Ai Tester job openings:

Infographic showing various Ai Tester job openings in San Ramon, CA as of August 2026, with employment types broken down into 57% Full Time, 16% Part Time, and 27% Contract. Highlights an 66% In-person, and 34% Remote job distribution, with an average salary of $89,168 per year, or $42.9 per hour.

Software Engineer, AI and Development Infra, Device, XR

Google Inc.

San Jose, CA • On-site

$207 - $300/hr

Other

Posted 3 days ago

New


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

49th of 246 rated software companies


Job description

Software Engineer, AI and Development Infra, Device, XR

Share Software Engineer, AI and Development Infra, Device, XR

Google San Jose, CA, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

Share Software Engineer, AI and Development Infra, Device, XR

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience programming in Python, Java, Go, or C++.
  • 5 years of experience with software design and architecture.
  • 3 years of experience in developing virtual devices, developer tools, automation frameworks, testing infrastructure, or CI/CD systems.
  • Experience applying AI/ML techniques to software engineering problems.
Preferred qualifications:
  • Expertise in Large Language Models (LLMs), and experience with platforms/tools like Gemini or other AI-driven development assistants.
About the job

A line of code can be many things - an amazing feature, a beautiful UI, a transformative algorithm. The faster this line of code reaches millions of users, the sooner it impacts their lives. As a Software Engineer, Tools and Infrastructure, you will be at the heart of Google’s engineering process building software that empowers engineering teams to develop and deliver high quality products quickly. We are focused on solving the hardest, most interesting challenges of developing software at scale without sacrificing stability, quality, velocity or code health.

We ensure Google's success by partnering with engineering teams and developing scalable tools and infrastructure that help engineers develop, test, debug and release software quickly. We impact thousands of Googlers and billions of users by increasing the pace of product development and ensuring our products are thoroughly tested. We are advocates for code health, testability, maintainability and best practices for development and testing.

Having access to all of Google's platforms and vast compute resources provides a unique opportunity to grow as an engineer. We typically work in small, nimble teams that collaborate on common problems across products and focus areas. As a result, the exposure to this broad set of problems provides technical challenges as well as accelerated career growth.

The XR DevX Infra team is developing systems, tools and processes to improve developer experience and velocity for Android XR. We support developers, partners and stakeholders to deliver on a regular cadence, with maximum velocity and trust.

For decades, the computing revolution has reshaped our world driven by breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap – the convergence of AI and XR. This is more than just new devices – it's about reimagining how we interact with the world around us. We're building a future where lightweight XR devices like smart glasses and headsets pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

  • Design, implement, deploy, maintain, enhance and stay abreast of latest complex software solutions that improve the developer workflow, code quality, and release velocity.
  • Lead the technical design and implementation of projects, making key architectural and technical decisions to improve virtual device's fidelity, velocity and stability to scale AI testing workflow on virtual devices.
  • Develop and integrate AI-powered features into developer tools to assist with code generation, code review, test generation, bug detection/triaging, and more, increasingly leveraging AI/ML.
  • Collaborate closely with various engineering teams to understand their needs, gather requirements, and drive the adoption of new tools and best practices. Contribute to and lead design reviews, code reviews, and discussions on system architecture.
  • Define and track metrics to measure the impact of tools and process improvements on developer productivity and system health.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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