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Ai Automation Testing Jobs (NOW HIRING)

Develop automation that improves software delivery, testing, documentation, release readiness ... AI-Assisted Engineering & Productivity * Build AI-enabled workflows that support coding, test ...

Automation Testing Engineer Location: Seattle, WA (Hybrid) FTE with benefits - Direct hiring (No ... Passionate about AI-driven testing and continuous improvement * Data-driven mindset with focus on ...

ORA_HYBRID Description The AI Agentic Program seeks a senior automation tester with strong ... Familiarity with AI-powered testing tools or platforms (e.g., BlinqIO, TestMu) * Understanding of ...

The AI & Automation Engineer will support the development of AI-enabled automation solutions across ... Understanding of software development fundamentals, including version control, debugging, testing ...

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 ...

Ai Automation Intern

Franklin, OH

$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 ...

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 ...

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Ai Automation Testing information

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How much do ai automation testing jobs pay per hour?

As of Jun 22, 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.

Will AI replace automation testing jobs?

AI automation testing jobs involve developing and maintaining automated test scripts using tools like Selenium or TestComplete. While AI can augment testing processes by increasing efficiency and coverage, human testers are still essential for designing test cases, analyzing complex issues, and interpreting results, so complete replacement is unlikely in the near term.

How much do AI testers make?

AI testers typically earn between $60,000 and $100,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with skills in automation tools and machine learning can earn higher salaries.

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 a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI research directors, senior machine learning engineers, or AI executives, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. These positions usually involve overseeing complex projects, developing innovative algorithms, and utilizing tools like TensorFlow or PyTorch, with compensation reflecting expertise and strategic impact.

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, 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.

Is AI testing a good career?

AI automation testing is a growing field with increasing demand for professionals skilled in programming, scripting, and tools like Selenium and AI frameworks. It offers opportunities in technology companies, with a focus on quality assurance, and often requires continuous learning to keep up with evolving AI technologies.

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:
Infographic showing various Ai Automation Testing job openings in the United States as of June 2026, with employment types broken down into 69% Full Time, 29% Part Time, and 2% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $106,656 per year, or $51.3 per hour.

Sr. Specialist - AI Automation & Testing

Scout Motors

Charlotte, NC

$101K - $133K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Job description

What you'll do

At Scout Motors, you don't just design vehicles- you shape the future of the road. Our Engineering team is where bold ideas meet rigorous execution, building machines that are as durable and capable as the people who drive them. You'll work shoulder-to-shoulder with brilliant minds across disciplines, turning complex challenges into elegant, scalable solutions that meet the highest standards of safety, performance, and user experience. This is a place where your fingerprints are found on metal - where what you design gets built, driven, and remembered. If you're hungry to engineer something that matters, Scout Motors is where that ambition finds its highest gear. 

The EE/SW Integration Manager at the OEM level owns and builds the infrastructure that enables rapid, reliable iteration of vehicle software and electronics. You'll work close to the vehicle-developing automation, integration pipelines, and test systems that connect embedded software running on ECUs with cloud-based development workflows. This role goes beyond architecture compliance and focuses on feature behavior, timing performance, system robustness, drivability impact, and cross-domain interaction quality. This role bridges embedded systems, software integration, and development infrastructure to enable efficient, scalable, and reliable engineering workflows. Work directly with MSTs, software engineers, systems engineers, validation teams, and suppliers to ensure robust delivery. 

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

  • End-to-End Toolchain architect responsible to develop and implement toolchains spanning: Code commit build ECU flashing vehicle/HIL testing data logging analysis  
  • Build ML models for test case prioritization, failure prediction, and intelligent test selection (e.g., using historical pass/fail, code churn, coverage)  
  • Implement anomaly detection on logs, CAN traces, and system telemetry (e.g., Isolation Forest, LSTM, or statistical methods)  
  • Develop NLP pipelines for automated log triage and defect classification 
  • Integrate AI modules into pipelines using Jenkins / GitLab CI / GitHub Actions  
  • Orchestrate workflows with Docker + Kubernetes for scalable test execution  
  • Implement event-driven automation (e.g., build triggers, test triggers, auto triage)  
  • Embed quality gates based on AI predictions (e.g., block/allow release based on risk scoring) 
  • Automate ECU flashing (UDS, bootloaders) across benches and vehicles and OTA package generation and deployment workflows with integrating HIL rigs into automated pipelines.  
  • Automate smoke validation pipelines post-integration with real-time analytics  
  • Support pre-release (e.g., Pilot Hall / factory SW integration) with AI-based readiness scoring  
  • Align AI automation with DVP, sprint cycles, and regression frameworks  
  • Provide dashboards for release health, defect leakage, and test effectiveness 
  • Inept to build custom automation frameworks as applicable to the platform to drive automation roll-out and adaptation 
  • Build and maintain SIL/HIL framework, vehicle-level regression systems, automate test orchestration across multiple environments (bench, dyno, fleet vehicles).  
  • Create pipelines for ingesting and analyzing vehicle telemetry and test data.  
  • Develop tools for log parsing (CAN traces, diagnostic logs), real-time monitoring and alerting  
  • Hands-on experience with vehicle communication protocols: CAN (DBC, UDS), LIN, Automotive Ethernet  
  • Experience building CI/CD systems, familiarity with Linux-based development environments.  

Location & Travel Expectations: 

  • This role may be based out of the Scout Motors corporate headquarters in Charlotte, NC
  • This role requires 4-5 days per week in the office, with regular in-person meetings and events. 
  • Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.
What you'll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You'll be comfortable with change and flexible in a fast-paced, high-growth environment. You'll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

  • Master's degree in Computer Science, Electrical/Electronics Engineering, or a related field with 8+ yrs. Of experience 
  • Strong understanding of vehicle E/E architecture and ECU-level software stacks, automotive communication protocols (CAN, LIN, FlexRay, Ethernet), UDS diagnostics (ISO 14229) and diagnostic communication tools 
  • Expert knowledge of GitHub/GitLab, Jenkins, and Artifactory. ALM/PLM proficiency in Codebeamer, Siemens Polarion, IBM DOORS Next Gen, or PTC Windchill. 
  • Programming: Python (advanced), SQL, Bash  
  • ML/AI: n8n, Pinecone, Scikit-learn, TensorFlow/PyTorch, time-series & anomaly detection with CI/CD expertise in Jenkins, GitLab CI, GitHub Actions  
  • Containers/Orchestration: Docker, Kubernetes 
  • Strong understanding, development and scaling of vehicle toolchain, data systems across fleet for development and analytics. 
  • Strong understanding of 1st principles in Engineering, result/solution oriented.  
  • Familiarity with SW for embedded systems, EE systems and architecture  
  • Familiarity with A2B, CAN, Automotive Ethernet, LIN, LVDS communication protocols and Vehicle Network tools, such as CANalyzer, CANoe, etc., 
  • Expertise with complex problem solving, data analysis, access/interpret/drive results with extended teams.  
  • Knowledge of Automotive design and development process, system requirements, and general engineering best practices  
What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting - with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

  • Competitive insurance including:
    • Medical, dental, vision and income protection plans
  • 401(k) program with:
    • An employer match and immediate vesting
  • Generous Paid Time Off including:
    • 20 days planned PTO, as accrued
    • 40 hours of unplanned PTO and 14 company or floating holidays, annually
    • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
    • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave
Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $140,000.00 - $170,000.00

Internal leveling code: IC8