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Ai Test Engineer Jobs in Arizona (NOW HIRING)

Test Automation Engineer

Phoenix, AZ · On-site

$76K - $90K/yr

Test Automation Engineer (Python + GenAI + LLMs) Location: Phoenix, AZ (Hybrid | Day 1 Onsite ... Practical experience with Generative AI * Playwright Automation * Model Context Protocol (MCP)

This role is for a Senior AI&T (Assembly Integration and Test) Engineer focusing on Array RF Testing. In this role, you will lead RF test development and validation for advanced space based phased ...

This role is for a Senior AI&T (Assembly Integration and Test) Engineer focusing on Array RF Testing. In this role, you will lead RF test development and validation for advanced space based phased ...

Test Automation Engineer

Phoenix, AZ · On-site

$76K - $90K/yr

Test Automation Engineer (Python + GenAI + LLMs) Location: Phoenix, AZ (Hybrid | Day 1 Onsite ... Practical experience with Generative AI * Playwright Automation * Model Context Protocol (MCP)

Showing results 21-40

Ai Test Engineer information

See Arizona salary details

$16

$41

$69

How much do ai test engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for ai test engineer in Arizona is $41.23, according to ZipRecruiter salary data. Most workers in this role earn between $31.15 and $48.85 per hour, depending on experience, location, and employer.

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 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 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 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.

How do I become an AI Test Engineer?

To become an AI Test Engineer, candidates typically need a strong background in computer science, software testing, or related fields, along with knowledge of AI and machine learning concepts. Skills in programming languages such as Python or Java, experience with testing tools, and understanding of AI model evaluation are essential. Earning relevant certifications and gaining experience in software development and testing environments can also improve job prospects.

What are popular job titles related to Ai Test Engineer jobs in Arizona?

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

What cities in Arizona are hiring for Ai Test Engineer jobs?

Cities in Arizona with the most Ai Test Engineer job openings:

Infographic showing various Ai Test Engineer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $85,759 per year, or $41.2 per hour.

Software Development Test Engineer

U-Haul

Phoenix, AZ

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


U-Haul rating

6.0

Company rating: 6.0 out of 10

Based on 522 frontline employees who took The Breakroom Quiz

153rd of 177 rated vehicle equipment hire


Job description

Location:

2727 N Central Ave, Phoenix, Arizona 85004 United States of America

To ensure a fair and consistent evaluation process, candidates are expected to complete all interviews and assessments independently and without the use of artificial intelligence tools (including AI-generated responses, prompts, or real-time assistance). Use of AI throughout the application and recruiting process may result in removal from consideration. Our goal is to get to know your authentic experiences, communication style, and problem-solving approach.


This position is not eligible for employer sponsorship.


This is a fully onsite position located at our corporate campus in Phoenix, AZ. There is no opportunity for remote work.


We are seeking a professional Software Development Engineer in Test to join our U-Haul family and support our applications. As a Software Development Engineer in Test, you will be responsible for meeting commitments and delivering automation testing activities and schedules. You will be responsible for testing activities of new features developed, collaborating with the team to identify issues, track progress and ensure their successful resolution by developers. You must be self-driven, meticulous and think outside the box. You must be a team player and work with development and Quality Assurance within a scrumban or kanban set up.


Job Description:

  • Respond to Software Quality issues with related groups such as Development, Database, Integration and Customer Support.
  • Work within an Agile team, collaborating with developers, QA, Support and Stakeholders to meet business requirements and system goals, fulfill end user requirements and identify and resolve systems issues effectively throughout the Software Development Life Cycle.
  • Perform execution of GUI, functional, performance, integration, UAT, Blackbox, regression and roll-back testing scenarios in areas such as User Interface (UI), Web Service and database technologies.
  • Assist development team with analysis from a quality analysis perspective and assist in identification of edge case scenarios or areas of potential performance impact.
  • Participate in pre-release and post-release sanity testing activities and processes, while additionally maintaining and enhancing documentation which will serve to increase the overall operational efficiency of the application.
  • Assist in root cause analysis and mitigation strategies.

Requirements:

  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics
  • 1-2+ years experience as Software Engineer test or similar role with full SDLC and STLC, software testing best practices and principles within Waterfall, SCRUM and Kanban methods
  • 1-2+ years experience coding in .Net, c#, Selenium WebDriver, Playwright, Cross Browser tools like Browserstack, Lambda Test
  • Experience with WebDriver, REST Web services & SOAP (Postman, SOAP UI or similar) and SQL
  • Working experience with scrum teams, DevOps model code through CI/CD pipeline
  • Must exhibit excellent analytical and problem identification skills
  • Must be good with communication and be an independent thinker
  • Must be available to work after hours for release support

About the U-Haul IT Team:

The technology staff at U-Haul understands that exceptional software and systems designs are integral to not only serving our users but enabling us to be the leaders in software development within our industry. The ability to quickly pivot as demands arise supported by a foundation of emphasis on Agile team collaboration that are key to delivering world class solutions. No idea too small, no endeavor too big as we embrace the mantra everyone is capable of contributing value and that the total effectiveness of a group interacting with one another is far greater than the sum of its parts.


Perks of Joining the U-Haul Fleet:

Get your career moving with a company who empowers team members to the healthiest version of themselves! We provide robust wellness benefits, events, and resources to help team members become the happiest and healthiest they can be.
Here are just some of the programs U-Haul has available:

  • Medical insurance
  • Prescription drug plans
  • Dental & Vision plan with hearing care discounts
  • Onsite medical clinic for team members and eligible family members
  • New indoor fitness gym (Midtown Phoenix campus)
  • Get Fit Gym Reimbursement Program
  • Registered Dietitian Program
  • WeightWatchers
  • CVS Virtual Care
  • UHaul Kids Program
  • 24Hour Nurse Line
  • Wellness Program (HealthierYou initiatives & challenges)
  • Mindset App Reimbursement
  • Pet Insurance & Wellness plans
  • Career stability
  • Opportunities for advancement
  • Valuable onthejob training
  • Tuition Reimbursement Program
  • Free online courses for personal and professional development at UHaul University
  • 401(k) Savings Plan
  • Employee Stock Ownership Plan (ESOP)
  • Companypaid life insurance
  • Voluntary life insurance options
  • Short-Term and LongTerm Disability
  • Critical Illness, Accident & Hospital Indemnity plans
  • Business & business travel insurance
  • MetLaw Legal Program
  • MetLife Auto & Home Insurance
  • LifeLock Identity Theft Protection
  • Dave Ramsey's SmartDollar Financial Wellness Program
  • UHaul Federal Credit Union
  • Paid holidays, vacation, and sick time
  • YouMatter Employee Assistance Program (EAP)
  • Discounts on cell phone plans, hotels, computers, vehicles & more
  • Community involvement & volunteer opportunities
  • UHaul Mothers Program (Paid maternity leave)

#LI-MM1

U-Haul Holding Company, and its family of companies including U-Haul International, Inc. ("U-Haul"), continually strives to create a culture of health and wellness. Consistent with applicable state law, U-Haul will not hire or re-hire individuals who use nicotine products. The states in which U-Haul will decline to hire nicotine users are: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Pennsylvania, Texas, Utah, Vermont, Virginia, and Washington. U-Haul has observed this hiring practice since February 1, 2020 as part of our commitment to a healthy work environment for our team.

U-Haul is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, provincial, state or local law. Individual accommodations are available on requests for applicants taking part in all aspects of the selection process. Information obtained during this process will only be shared on a need to know basis.


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