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Remote Junior Automation Engineer Jobs in Austin, TX

Huntington

MLOps Automation Senior Lead Engineer

Austin, TX · On-site +1

$103K - $135K/yr

Ability to train more junior analysts regarding day-to-day activities, as necessary * Proven ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

MLOps Automation Senior Lead Engineer

Austin, TX · On-site +1

$103K - $135K/yr

... junior analysts regarding day-to-day activities, as necessary Proven ability to lead cross ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huckberry

Jr. AI Process Engineer

Austin, TX · Remote

... to a remote hire. Responsibilities * Partner with our VP of Technology, Operations, Logistics ... impact automation opportunities * Design and build workflow automations using APIs and ...

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Remote Junior Automation Engineer information

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$42.6K

$73.8K

$111K

How much do remote junior automation engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote junior automation engineer in Austin, TX is $73,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $87,200.00 per year, depending on experience, location, and employer.

What is a remote junior automation engineer?

A Remote Junior Automation Engineer is an entry-level professional who works from a remote location to design, develop, and maintain automated systems and processes, often for software testing or industrial applications. They typically assist senior engineers by writing automation scripts, setting up testing environments, and troubleshooting issues. This role requires a good understanding of programming, automation tools, and sometimes hardware systems, depending on the industry. Remote work allows them to collaborate online with teams and clients from different locations. It's a great starting point for those looking to build a career in automation engineering.

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

To thrive as a Remote Junior Automation Engineer, you need a foundation in programming (such as Python or Java), understanding of automation frameworks, and a relevant technical degree or equivalent experience. Familiarity with tools like Selenium, Jenkins, Git, and CI/CD systems, as well as certifications in automation or software testing, are commonly expected. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills for remote collaboration and troubleshooting. These skills ensure efficient test automation, high code quality, and seamless teamwork in distributed environments.

What are some common challenges faced by remote junior automation engineers and how can they be addressed?

Remote Junior Automation Engineers often encounter challenges such as effective communication with distributed teams, understanding existing automation frameworks, and managing time independently. To address these, it's important to proactively seek clarification from senior engineers, participate in regular virtual meetings, and use collaboration tools effectively. Developing strong documentation habits and setting clear daily goals can also help maintain productivity and ensure smooth workflow in a remote environment.

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

AspectRemote Junior Automation EngineerRemote QA Tester
Required CredentialsBasic programming skills, knowledge of automation tools (e.g., Selenium), some certificationsUnderstanding of testing methodologies, basic scripting, certifications like ISTQB
Work EnvironmentCollaborates with development teams, uses automation frameworks, often involved in CI/CD pipelinesFocuses on manual and automated testing, reports bugs, works closely with QA teams
Employer & Industry UsageTech companies, software development firms, startupsSoftware companies, IT service providers, quality assurance firms

The Remote Junior Automation Engineer and Remote QA Tester roles share some skills like testing and scripting but differ mainly in focus. The automation engineer emphasizes developing and maintaining automation frameworks, while the QA tester concentrates on executing tests and identifying bugs. Both roles are essential in software quality assurance but serve different stages of the testing process.

What are popular job titles related to Remote Junior Automation Engineer jobs in Austin, TX?

For Remote Junior Automation Engineer jobs in Austin, TX, the most frequently searched job titles are:

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The top searched job categories for Remote Junior Automation Engineer jobs in Austin, TX are:

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Cities near Austin, TX with the most Remote Junior Automation Engineer job openings:

Remote Junior Automation Engineer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

San Marcos, TX • Remote

Full-time

Re-posted 18 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