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Remote Selenium Automation Jobs in Houston, TX (NOW HIRING)

Huntington

MLOps Automation Senior Lead Engineer

Houston, TX · On-site +1

$99K - $130K/yr

The MLOps Automation Engineering Senior Lead will lead a team responsible for building and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

ABB

Senior Technical Business Developer - Grid Automation

TX · Remote

$84K - $111K/yr

... Grid Automation portfolio in the U.S. market. This role bridges advanced grid technologies and a ... This is a remote position. Candidates can be located anywhere in the US, with preference for Cary ...

Lancium

SCADA Engineer

The Woodlands, TX · On-site +1

This is a remote position however individuals must currently reside in Texas. Who We Are Lancium ... What You Will Do Lancium is seeking a SCADA/Automation engineer to assist in planning/developing ...

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$35.3K

$102.3K

$155.7K

How much do remote selenium automation jobs pay per year?

As of Aug 4, 2026, the average yearly pay for remote selenium automation in Houston, TX is $102,303.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,600.00 and $117,900.00 per year, depending on experience, location, and employer.

What is a remote Selenium automation engineer?

A Remote Selenium Automation Engineer is a professional who specializes in using the Selenium tool to automate web application testing, working from a remote location rather than on-site. Their primary responsibilities include designing, developing, and maintaining automated test scripts to ensure software quality and functionality. They collaborate with development and QA teams, often using programming languages like Python, Java, or C#, and may also be involved in setting up test frameworks and integrating with CI/CD pipelines. Working remotely allows them to contribute to projects from anywhere, providing flexibility for both the engineer and the employer.

What are the key skills and qualifications needed to thrive as a remote Selenium automation engineer?

To thrive as a Remote Selenium Automation Engineer, you need a solid understanding of software testing principles, programming languages like Java or Python, and experience with Selenium WebDriver, usually supported by a degree in computer science or a related field. Familiarity with test automation frameworks, version control systems like Git, and CI/CD tools such as Jenkins or GitHub Actions is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills set top candidates apart in remote and collaborative environments. These skills ensure reliable automated test coverage, efficient defect detection, and seamless teamwork across distributed teams.

How does a remote Selenium automation engineer typically collaborate with development and QA teams?

As a Remote Selenium Automation Engineer, you'll regularly coordinate with both development and QA teams through virtual meetings, project management tools, and shared repositories. Effective communication is key, as you’ll need to clarify test requirements, review automation scripts, and report defects. You may also participate in sprint planning or code reviews to ensure your automation aligns with ongoing development. Collaboration tools like Jira, Slack, and GitHub are commonly used to maintain transparency and streamline workflows despite the distributed nature of the team.
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Remote Selenium Automation jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Houston, TX • Remote

Full-time

Re-posted 13 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