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Ai Automation Testing Jobs in California (NOW HIRING)

Single Grain

AI Automation Engineer

Los Angeles, CA · Remote

$25/hr

AI systems still require clear controls, testing, monitoring, and human review. Your mission Build automation systems that create at least $250,000 in annualized efficiency or equivalent documented ...

General Atomics

AI & Automation Engineer

Poway, CA · On-site

... testing solutions, and participating in the roll out and stabilization of these solutions to the ... Integrate AI and automation workflows with enterprise systems such as SAP, and other financial ...

Maxonic

Senior AI Automation Engineer

San Francisco, CA · On-site

$124K - $171K/yr

Senior AI Automation Engineer Job Type: Fulltime Job Location: San Francisco, CA Work Schedule ... Experience implementing testing, evaluation, monitoring, and feedback loops for AI applications ...

Maxonic, Inc.

Senior AI Automation Engineer

San Francisco, CA · On-site

$122K - $160K/yr

Senior AI Automation Engineer Job Type: Fulltime Job Location: San Francisco, CA Work Schedule ... Experience implementing testing, evaluation, monitoring, and feedback loops for AI applications ...

Prologis

Senior AI Automation Engineer

San Francisco, CA

$122K - $160K/yr

Job Title: Senior AI Automation Engineer Company: Prologis A day in the life The Senior AI ... Experience implementing testing, evaluation, monitoring, and feedback loops for AI applications ...

InterSources Inc

QA Automation

San Jose, CA · On-site

They are seeking a QA Engineer with strong experience in automation and performance testing ... InterSources Inc. solves operational problems where protection, performance, compliance, AI, and ...

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Ai Automation Testing information

What is AI automation testing?

AI automation testing refers to the use of artificial intelligence technologies to automate the process of testing software applications. This approach enhances traditional automated testing by using machine learning and data analysis to identify test cases, detect defects, and optimize test coverage. AI-driven testing tools can adapt to changes in the application, reduce manual effort, and improve the accuracy and speed of testing processes. As a result, organizations can deliver higher-quality software more efficiently.

What are the key skills and qualifications needed to thrive as an AI automation testing professional?

To thrive as an AI Automation Testing professional, you need a solid understanding of software testing principles, programming languages (such as Python or Java), and AI/ML concepts, often supported by a degree in computer science or a related field. Familiarity with automation tools like Selenium, Appium, and AI-powered testing frameworks, as well as certifications like ISTQB, is highly valued. Strong analytical thinking, attention to detail, and effective communication skills help professionals excel in diagnosing issues and collaborating with development teams. These skills ensure the delivery of robust, efficient, and reliable AI-driven software products in a competitive technology landscape.

What are some common challenges faced by AI automation testing professionals when validating machine learning models?

AI Automation Testing professionals often encounter challenges such as ensuring that test cases comprehensively cover the unique behaviors of machine learning models, dealing with non-deterministic outputs, and handling large datasets efficiently. It's also common to face difficulties in setting up reliable test environments that simulate real-world data scenarios. Collaboration with data scientists and developers is crucial to define meaningful metrics and effectively interpret test results, ensuring the AI system meets both functional and ethical standards.

What is the difference between Ai Automation Testing vs Software Test Engineer?

AspectAi Automation TestingSoftware Test Engineer
Required CredentialsCertifications in AI, automation tools, programming languagesSoftware testing certifications (ISTQB, CSTE), programming skills
Work EnvironmentFocus on automation frameworks, AI integration, scriptingManual and automated testing, test case design, bug tracking
Employer & Industry UsageTech companies, AI-driven projects, software development firmsSoftware development companies, IT departments, QA teams

Ai Automation Testing and Software Test Engineer roles overlap in testing skills and programming knowledge. However, Ai Automation Testing emphasizes AI integration and automation frameworks, while Software Test Engineers focus more on manual testing, test case creation, and bug identification. Both roles are essential in software quality assurance but serve different aspects of the testing process.

How to become an AI automation tester?

To become an AI automation tester, you should have a strong understanding of software testing principles, programming languages such as Python or Java, and experience with automation tools like Selenium or TestComplete. Familiarity with AI and machine learning concepts can be beneficial, along with certifications in testing or automation. Gaining hands-on experience through internships or projects is also valuable for this role.

Is AI automation testing a good career?

AI automation testing is a growing field within software quality assurance that involves using AI tools and scripting to automate test cases, increasing efficiency and coverage. It requires knowledge of programming, testing frameworks, and AI concepts, making it a valuable skill set with strong job prospects and competitive salaries.

What are popular job titles related to Ai Automation Testing jobs in California?

For Ai Automation Testing jobs in California, the most frequently searched job titles are:

What job categories do people searching Ai Automation Testing jobs in California look for?

The top searched job categories for Ai Automation Testing jobs in California are:

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Cities in California with the most Ai Automation Testing job openings:

Ai Automation Testing jobs near you
Infographic showing various Ai Automation Testing job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AI Automation Engineer

Los Angeles, CA • Remote

Single Grain
11 - 50 employees
Learn more about Single Grainexternal

$25/hr

Full-time

Re-posted 29 days ago

Job description

Turn slow workflows into reliable AI-assisted systems

We are hiring an AI Automation Engineer to find high-leverage workflow problems and ship reliable systems that improve revenue per employee. Include “AI automation is cool” in the subject line. Otherwise, your application will be disqualified.

You will own the full path from process discovery through build, rollout, monitoring, documentation, and measured adoption. A demo is not done. The system must work for the people who depend on it.

About Single Grain

Single Grain is a revenue marketing agency. We build pipeline-focused systems that compound, not campaigns that expire. We have helped more than 500 companies, from venture-backed startups to the Fortune 500, drive measurable growth.

We operate as an AI-native team. Every role uses AI to improve speed, quality, judgment, and leverage. AI systems still require clear controls, testing, monitoring, and human review.

Your mission

Build automation systems that create at least $250,000 in annualized efficiency or equivalent documented business leverage and help double revenue per employee over 12 months.

What you will own

  • Map current workflows with the people who do the work.

  • Rank opportunities by frequency, time, error cost, business value, and implementation risk.

  • Build production automations across approved AI models, APIs, data sources, and workflow tools.

  • Add validation, retries, logging, alerts, access controls, and human approval where needed.

  • Train users, document the system, measure adoption, and close gaps after launch.

  • Track time saved, cost avoided, cycle-time change, quality, revenue effect, or another approved KPI.

  • Maintain existing automations and retire systems that no longer create value.

What success looks like

In 30 days, you have mapped the highest-value workflows, set baselines, and shipped one useful production automation.

By 60 days, you have multiple adopted systems with monitoring, owners, documentation, and measured results.

By 90 days, the automation backlog is prioritized by ROI and your shipped systems show meaningful annualized leverage.

Evidence we need to see

  • Two or three production automations with your exact ownership.

  • One measured result tied to time, cost, quality, revenue, adoption, or cycle time.

  • An example of diagnosing a workflow before choosing a tool.

  • Evidence of error handling, monitoring, data controls, and human escalation.

  • A concrete AI automation workflow and an honest account of what failed or changed.

This role is not

  • A prompt-only or prototype-only role.

  • A role that automates a broken process without understanding it.

  • A role that reports theoretical time savings without adoption evidence.

  • A role for unmonitored systems with unclear ownership.

How the process works

  1. Application and evidence review.

  2. A focused workflow and engineering screen.

  3. The published Beat Claude engineering challenge.

  4. A live system-design and tradeoff review.

  5. References and final decision.

Work model and compensation

This is a fully remote, full-time contractor role. Pay is $25 per hour. State your location, working-hour overlap, and start date.

Apply with proof

Send links or documentation for production automations, explain your exact ownership, quantify one result, and describe how you handle reliability, adoption, and human oversight.