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Remote Automation Test Engineer Jobs in Dallas, TX

TEKsystems

Automation Engineer

Arlington, TX · Remote

$70 - $80/hr

This is fully remote although candidates who are local to the Dallas-Fort Worth area are preferred ... It is unlawful in Massachusetts to require or administer a lie detector test as a condition of ...

Stefanini Group

Ansible Automation Engineer

Dallas, TX · Remote

Stefanini is looking for Senior Automation Engineer - Ansible - Remote For quick apply, please contact Vaibhav Srivastava; Ph: 248 936 1053 Vaibhav.srivastava@stefanini.com W2 Candidates Only! About ...

Stefanini Group

Ansible Automation Engineer

Dallas, TX · Remote

Stefanini is looking for Senior Automation Engineer - Ansible - Remote For quick apply, please contact Vaibhav Srivastava; Ph: 248 936 1053 Vaibhav.srivastava@stefanini.com W2 Candidates Only! About ...

Stefanini Group

Ansible Automation Engineer

Dallas, TX · Remote

Stefanini is looking for Senior Automation Engineer - Ansible - Remote For quick apply, please contact Vaibhav Srivastava; Ph: 248 936 1053 Vaibhav.srivastava@stefanini.com W2 Candidates Only! About ...

TEKsystems

IAM Automation Engineer

Arlington, TX · Remote

$70 - $80/hr

This is a remote position although candidate that are able to come on site would be preferred. Top ... It is unlawful in Massachusetts to require or administer a lie detector test as a condition of ...

Huntington

MLOps Automation Senior Lead Engineer

Dallas, TX · On-site +1

$102K - $135K/yr

Strong automation scripting skills * Experience in configuration management, test-driven ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Eliassen Group

Senior Automation Engineer

Irving, TX · Remote

$65 - $75/hr

Hybrid 3 days onsite/2 days remote in either Irving, TX or Charlotte, NC or Minneapolis, MN or Chandler, AZ Our client seeks a contract engineer to accelerate an enterprise automation framework and ...

Equinix

Senior Network Automation Engineer

Dallas, TX · Remote

$106K - $145K/yr

Define and implement a roadmap for test environment provisioning, enabling on-demand, self-service ... Engineering and Automation * Bachelor's in Electrical engineering, Electronics, Computer ...

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Remote Automation Test Engineer information

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How much do remote automation test engineer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for remote automation test engineer in Dallas, TX is $50.73, according to ZipRecruiter salary data. Most workers in this role earn between $43.75 and $57.79 per hour, depending on experience, location, and employer.

What is a remote automation test engineer?

A Remote Automation Test Engineer is a software professional who specializes in designing, developing, and executing automated tests to ensure the quality of software applications, while working from a location outside the traditional office environment. Their primary responsibilities include creating and maintaining automated test scripts, identifying bugs, and collaborating with development teams to resolve issues. They use various testing tools and frameworks to improve the efficiency and effectiveness of software testing, helping to deliver reliable and high-quality products. Remote work allows them to perform these tasks from anywhere, using digital communication and collaboration tools.

What does a remote automation test engineer do?

The job duties and responsibilities of a remote automation test engineer focus on quality assurance (QA). In this work from home role, you oversee the development of testing frameworks and maintain, debug, and operate automated testing systems on software to ensure that they meet technical requirements for the client or employers’ QA needs. In addition to taking steps to run and monitor each testing program from your remote location, you work to improve testing strategies and make updates to the testing frameworks when necessary.

What are the key skills and qualifications needed to thrive as a remote automation test engineer, and why are they important?

To thrive as a Remote Automation Test Engineer, you need strong programming skills (often in languages like Java, Python, or JavaScript), a solid understanding of software testing methodologies, and experience with test automation frameworks such as Selenium, Appium, or Cypress. Familiarity with CI/CD tools (like Jenkins or GitLab), version control systems (such as Git), and relevant certifications (e.g., ISTQB) are commonly expected. Excellent problem-solving, attention to detail, and effective communication are crucial soft skills for collaborating with distributed teams and ensuring quality outcomes. These competencies are essential for identifying defects early, improving software reliability, and maintaining productivity in a remote work environment.

How does a remote automation test engineer typically collaborate with distributed development teams?

As a Remote Automation Test Engineer, you'll frequently interact with developers, product managers, and other QA professionals through virtual channels such as video calls, chat platforms, and project management tools. Effective collaboration often involves participating in daily stand-ups, sharing test results promptly, and providing feedback on code changes. Clear communication and documentation are key, as you'll need to ensure that everyone is aligned on testing priorities, defect statuses, and automation coverage. Embracing asynchronous communication and maintaining organized test artifacts help overcome challenges posed by working across different time zones.

What is the difference between Remote Automation Test Engineer vs Manual QA Tester?

AspectRemote Automation Test EngineerManual QA Tester
Required SkillsAutomation tools, scripting, programmingTest case execution, attention to detail
Work EnvironmentCollaborates with developers, uses automation frameworksPerforms manual testing, reports bugs
CertificationsISTQB, Certified Automation TesterISTQB, Software Testing certifications
Industry UsageSoftware development, tech companiesVaried industries, including software and manufacturing

The main difference between a Remote Automation Test Engineer and a Manual QA Tester lies in their testing approach. The automation engineer focuses on developing and maintaining automated test scripts, requiring programming skills and automation tools. In contrast, the manual tester executes test cases manually without automation. Both roles are essential in quality assurance, but they serve different functions within the testing process.

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Remote Automation Test Engineer jobs near you

Generative AI Automation Engineer - Remote Job

Arlington, TX • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

Re-posted 19 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply