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$37K

$107.1K

$163K

How much do remote entry level automation engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for remote entry level automation engineer in the United States is $107,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $123,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Entry Level Automation Engineer, and why are they important?

To thrive as a Remote Entry Level Automation Engineer, you need a foundational understanding of programming languages (such as Python or Java), basic knowledge of automation frameworks, and a related degree in computer science or engineering. Familiarity with tools like Selenium, Jenkins, and version control systems (e.g., Git) is typically expected, along with any relevant certifications such as ISTQB or Certified Automation Professional. Strong problem-solving skills, attention to detail, and effective remote communication help you stand out in this position. These skills and qualities are crucial for efficiently designing, executing, and maintaining automated solutions while collaborating smoothly in a distributed team environment.

What are some common challenges faced by remote entry level automation engineers, and how can I overcome them?

Remote entry level automation engineers often encounter challenges such as limited direct mentorship, communication gaps with teammates, and navigating unfamiliar automation tools. To overcome these, proactively seek feedback from senior engineers, participate actively in virtual team meetings, and utilize online resources or internal documentation. Building strong digital communication skills and maintaining a structured daily routine can also help ensure productivity and foster professional growth in a remote setting.

What is a Remote Entry Level Automation Engineer?

A Remote Entry Level Automation Engineer is a professional who works from a location outside the traditional office, typically from home, to help design, develop, and implement automated systems and processes. Their main tasks often include writing scripts, testing software, and maintaining automation tools under the guidance of senior engineers. Since this is an entry-level position, candidates are usually recent graduates or individuals with limited experience, looking to build their skills in automation technologies. The remote aspect allows for flexible work arrangements and access to opportunities with employers regardless of geographic location. This role is ideal for those interested in technology, problem-solving, and process improvement.

What is the difference between Remote Entry Level Automation Engineer vs Remote Junior Automation Developer?

AspectRemote Entry Level Automation EngineerRemote Junior Automation Developer
Required CredentialsAssociate's or Bachelor's in Engineering, Computer Science, or related fieldSimilar educational background, often with some programming knowledge
Work EnvironmentCollaborative teams, often in tech or manufacturing industries, remote-friendlyDevelopment-focused teams, software or automation companies, remote options common
Employer & Industry UsageManufacturing, industrial automation, tech firmsSoftware development, automation tools, tech startups
Search & Comparison IntentUnderstanding entry-level automation roles with remote workSimilar roles focusing on automation development at entry level

Both roles are entry-level positions requiring foundational knowledge in automation and programming. The main difference lies in their focus: the Automation Engineer often emphasizes system integration and industrial processes, while the Automation Developer centers on software and script development. Both roles are suitable for recent graduates seeking remote work in automation fields.

More about Remote Entry Level Automation Engineer jobs
What cities are hiring for Remote Entry Level Automation Engineer jobs? Cities with the most Remote Entry Level Automation Engineer job openings:
What are the most commonly searched types of Remote Automation Engineer jobs? The most popular types of Remote Automation Engineer jobs are:
What states have the most Remote Entry Level Automation Engineer jobs? States with the most job openings for Remote Entry Level Automation Engineer jobs include:
    What job categories do people searching Remote Entry Level Automation Engineer jobs look for? The top searched job categories for Remote Entry Level Automation Engineer jobs are:
    Remote Entry Level Automation Engineer jobs near you
    Infographic showing various Remote Entry Level Automation Engineer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $107,126 per year, or $51.5 per hour.
    Generative AI Automation Engineer - Remote Job

    Generative AI Automation Engineer - Remote Job

    EnthuZiastic

    Pittsburgh, PA • Remote

    Other

    Posted 7 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