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Ai Automation Testing Jobs (NOW HIRING)

Stellantis

AI & Automation Engineer

Auburn Hills, MI · On-site

Understanding of software development fundamentals, including version control, debugging, testing ... AI to engineering automation use cases. Preferred Qualifications: * Experience with AI, machine ...

Turabify Co.

Ai Automation Intern

Columbus, OH · On-site

$13.75 - $18.50/hr

As an Ai Automation Intern, you will assist in the development and implementation of automation ... Support the design, testing, and documentation of automation initiatives. * Collaborate with cross ...

1 point system

Senior AI/Automation Engineer

Boston, MA · On-site

$113K - $148K/yr

Requirement - Senior AI/Automation Engineer Location- Boston, MA and Minneapolis, MN(4 days a week ... testing, deployment, and auditability. · Drive spec-to-code, code-to-test, and test-to-deployment ...

Turabify Co.

Ai Automation Intern

Franklin, OH

$13.75 - $18.75/hr

As an Ai Automation Intern, you will assist in the development and implementation of automation ... Support the design, testing, and documentation of automation initiatives. * Collaborate with cross ...

Turabify Co.

Ai Automation Intern

Franklin, OH · On-site

$13.75 - $18.50/hr

As an Ai Automation Intern, you will assist in the development and implementation of automation ... Support the design, testing, and documentation of automation initiatives. * Collaborate with cross ...

Gibson Homewares

AI Automation Specialist

Los Angeles, CA · On-site

$75K - $90K/yr

AI Automation Specialist LOCAL CANDIDATES ONLY Full-Time, based in Los Angeles, near downtown L.A ... testing, and results tracking • Partner with department leads to define success metrics before ...

Gibson Homewares

AI Automation Specialist

Los Angeles, CA · On-site

$75K - $90K/yr

AI Automation Specialist LOCAL CANDIDATES ONLY Full-Time, based in Los Angeles, near downtown L.A ... testing, and results tracking • Partner with department leads to define success metrics before ...

Dubin Law Group

Be Seen First

AI Automation Specialist

Seattle, WA · On-site

$30 - $45/hr

Monitor AI workflows, integrations, and automation systems to ensure reliability and performance * Assist with deployment, testing, version control, and change management for AI-enabled systems

New

Tyndale

AI Automation Engineer

Pipersville, PA · Hybrid

$158K - $165K/yr

Establish and follow standards for testing, deployment, logging, exception handling, documentation ... following areas: RPA, systems integration, AI Agents, or Agentic AI solutions * Strong ...

Tyndale

AI Automation Engineer

Houston, TX · Hybrid

Establish and follow standards for testing, deployment, logging, exception handling, documentation ... following areas: RPA, systems integration, AI Agents, or Agentic AI solutions * Strong ...

Tyndale

AI Automation Engineer

Houston, TX · On-site

Establish and follow standards for testing, deployment, logging, exception handling, documentation ... following areas: RPA, systems integration, AI Agents, or Agentic AI solutions * Strong ...

Tyndale

AI Automation Engineer

Pipersville, PA · Hybrid

$158K - $165K/yr

Tyndale is looking for an Automation & AI Agent Engineer to design, build, deploy, and support ... Establish and follow standards for testing, deployment, logging, exception handling, documentation ...

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Ai Automation Testing information

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How much do ai automation testing jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for ai automation testing in the United States is $51.28, according to ZipRecruiter salary data. Most workers in this role earn between $44.23 and $58.41 per hour, depending on experience, location, and employer.

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 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.

How much do AI testers get paid?

AI automation testers typically earn between $60,000 and $120,000 annually, depending on experience, location, and skill level. Entry-level positions may start around $50,000, while experienced professionals with skills in machine learning and scripting can earn higher salaries. Certifications and proficiency with testing tools can also influence compensation.

What are the key skills and qualifications needed to thrive as an AI Automation Testing professional, and why are they important?

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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. Such roles usually involve developing innovative AI solutions, managing teams, and may require expertise in programming, data analysis, and relevant tools like TensorFlow or PyTorch.

Is AI testing a good career?

AI automation testing is a growing field that involves evaluating AI systems for accuracy, reliability, and performance using tools like scripting and testing frameworks. It offers opportunities in technology companies, with demand increasing as AI applications expand across industries. Developing skills in programming, machine learning concepts, and testing tools can enhance career prospects in this area.

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.

More about Ai Automation Testing jobs
What cities are hiring for Ai Automation Testing jobs? Cities with the most Ai Automation Testing job openings:
What states have the most Ai Automation Testing jobs? States with the most job openings for Ai Automation Testing jobs include:
What job categories do people searching Ai Automation Testing jobs look for? The top searched job categories for Ai Automation Testing jobs are:
Ai Automation Testing jobs near you
Infographic showing various Ai Automation Testing job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $106,656 per year, or $51.3 per hour.
AI & Automation Engineer

AI & Automation Engineer

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 25 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 127 frontline employees who took The Breakroom Quiz

15th of 44 rated automakers

Job description

Join our engineering organization as an AI & Automation Engineer focused on building scalable, AI-enabled solutions that streamline the Verification & Validation (V&V) lifecycle. This role develops automation tools, software applications, and intelligent workflows that increase efficiency, improve quality, and accelerate delivery across engineering teams. You will partner with global stakeholders to design, deploy, and optimize modern automation and AI-driven capabilities.
Key Responsibilities
  • Design and develop software tools, APIs, scripts, and automation workflows supporting Verification & Validation (V&V) engineering activities
  • Build and implement AI-enabled solutions including generative AI use cases for requirements analysis, DVP creation, automated test generation, traceability, and validation evidence review
  • Integrate automation and AI solutions with engineering systems, dashboards, CI/CD pipelines, databases, and validation platforms
  • Develop proof-of-concepts, run pilot programs, gather user feedback, and transition solutions into production environments
  • Collaborate with cross-functional and global teams to define requirements, validate solutions, and drive adoption of automation tools
  • Identify opportunities to reduce manual effort, improve process consistency, and increase engineering efficiency through automation and AI
  • Ensure scalable, maintainable, and well-documented code following software development best practices

Basic Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or a related technical field.
  • Strong programming skills in at least one language such as Python, JavaScript, TypeScript, C#, or C++.
  • 7+ years of relevant experience in this field
  • Experience developing software tools, automation scripts, APIs, data pipelines, or workflow automation solutions.
  • Understanding of software development fundamentals, including version control, debugging, testing, documentation, and maintainable code design.
  • Ability to analyze engineering processes and translate them into structured automation solutions.
  • Strong problem-solving, communication, and collaboration skills.
  • Basic familiarity with AI-enabled tools, generative AI concepts, or AI-assisted software development, with interest in applying AI to engineering automation use cases.

Preferred Qualifications:
  • Experience with AI, machine learning, generative AI, large language models, RAG, vector search, prompt engineering, or AI-assisted software development.
  • Experience developing dashboards, web applications, internal engineering tools, or user-facing automation platforms.
  • Experience with front-end or full-stack development using technologies such as React, TypeScript, or similar frameworks.
  • Familiarity with SQL, relational databases, data modeling, or database-driven application development.
  • Familiarity with cloud platforms, containers, data platforms such as Databricks or similar, and CI/CD tools such as TeamCity, Jenkins, GitHub Actions, Azure DevOps, or similar.
  • Experience working with global teams and supporting adoption of new tools, methods, or automation practices.

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