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Remote Selenium Jobs in California (NOW HIRING)

Sapta Global Inc

QA Analyst

Signal Hill, CA · Remote

Remote Rate: $ 40 hrDuration: 12 months Contract with possible extensions/conversionTools -Eclipse or any other IDE can workGradleJenkinsCucumberGITSkills - Basic Java & SQLCoverage -Currently we are ...

TEKsystems

Software Expert

Menlo Park, CA · Remote

$50 - $75/hr

TekSystems is currently hiring for REMOTE Software Experts, This role would be based out of CA but can sit remotely anywhere! MUST HAVE: ● Experience with data annotation, QA, or task-based ...

Single Grain

AI Automation Engineer

Los Angeles, CA · Remote

$25/hr

Work model and compensation This is a fully remote, full-time contractor role. Pay is $25 per hour. State your location, working-hour overlap, and start date. Apply with proof Send links or ...

Wayve

Triage Automation Engineer

Sunnyvale, CA · On-site +1

$144K - $183K/yr

Hands-on experience operating in a remote Linux environment * Experience building or maintaining data pipelines or notebooks (e.g. Databricks, Jupyter) * Great communication skills, able to explain ...

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All JobsSelenium JobsRemote Selenium JobsRemote Selenium Jobs in California

Remote Selenium information

What is a remote Selenium job?

Remote Selenium jobs involve using the Selenium automation tool to test web applications from a remote location, rather than working on-site. These roles typically require setting up and maintaining automated test scripts, executing test cases, and reporting bugs. Remote Selenium testers often collaborate with developers and QA teams via online communication tools. This setup allows companies to hire skilled automation testers regardless of their physical location.

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

To thrive as a Remote Selenium Automation Engineer, you need a strong background in software testing, proficiency in programming languages like Java or Python, and experience with Selenium WebDriver. Familiarity with test automation frameworks, CI/CD tools like Jenkins, and version control systems such as Git is typically required. Excellent problem-solving abilities, attention to detail, and strong communication skills help you collaborate effectively within remote teams. These skills ensure the efficient creation, execution, and maintenance of automated test suites, leading to higher software quality and successful project delivery.

What are common challenges faced by remote Selenium testers when collaborating with distributed development teams?

Remote Selenium Testers often encounter challenges related to communication and coordination with globally distributed development teams. Time zone differences can make it difficult to schedule real-time discussions or address urgent issues quickly. Additionally, ensuring test environments are consistently configured across various locations can be tricky. Overcoming these challenges typically involves using collaboration tools, maintaining clear documentation, and adopting version control practices for test scripts to keep everyone aligned.

What is the difference between Remote Selenium vs Remote QA Tester?

AspectRemote SeleniumRemote QA Tester
Required SkillsAutomation testing, programming (Java, Python), Selenium WebDriverManual testing, test case creation, bug reporting, basic scripting
Work EnvironmentPrimarily automation testing teams, software development projectsTesting teams, quality assurance departments across industries
CertificationsSelenium certifications, ISTQB (optional)ISTQB, QA certifications often preferred
Industry UsageSoftware development, web application testingVarious industries including tech, finance, healthcare

Remote Selenium roles focus on automation testing using Selenium WebDriver and programming skills, while Remote QA Tester positions involve manual testing, test case design, and bug tracking. Both roles are essential in quality assurance but differ in technical complexity and daily tasks.

More about Remote Selenium jobs

What are the most commonly searched types of Selenium jobs in California?

The most popular types of Selenium jobs in California are:

What are popular job titles related to Remote Selenium jobs in California?

For Remote Selenium jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Selenium jobs in California look for?

The top searched job categories for Remote Selenium jobs in California are:

What cities in California are hiring for Remote Selenium jobs?

Cities in California with the most Remote Selenium job openings:

Remote Selenium jobs near you
Infographic showing various Remote Selenium job openings in California as of September 2026, with employment types broken down into 84% Full Time, 5% Part Time, 1% Temporary, and 10% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution.

Generative AI Automation Engineer - Remote Job

Chico, CA • Remote

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

Full-time

Re-posted 24 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