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Remote Automation Engineer Jobs in Fargo, ND (NOW HIRING)

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Remote Automation Engineer information

See Fargo, ND salary details

$36.3K

$105.2K

$160K

How much do remote automation engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for remote automation engineer in Fargo, ND is $105,179.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,900.00 and $121,300.00 per year, depending on experience, location, and employer.

How do remote automation engineers typically collaborate with on-site teams to ensure project success?

Remote Automation Engineers often work closely with on-site teams through regular video meetings, collaborative project management tools, and shared documentation platforms. Clear communication is key, as remote engineers may need to coordinate testing schedules, troubleshoot issues in real-time, and provide virtual support during equipment installation or updates. It's common to use remote desktop software and cloud-based environments to access systems securely. Proactive communication and responsiveness help bridge the distance, ensuring that automation projects stay on track and meet quality standards.

What is a remote automation engineer?

A Remote Automation Engineer is a professional who designs, develops, and maintains automated systems and processes, often working from a remote location rather than on-site. They typically focus on creating scripts, tools, and workflows that help improve efficiency, quality, and reliability in software development, IT operations, or industrial processes. Their responsibilities may include writing code for test automation, configuring CI/CD pipelines, and collaborating with remote teams to optimize business operations. Working remotely allows them to support projects in various locations while leveraging digital communication and collaboration tools.

What does a remote automation engineer do?

A remote automation engineer uses technology to streamline, improve, and automate the manufacturing process. Your responsibilities in this work from home position include QA duties, testing software, developing computer systems, simulating programs, and using sensors to get accurate measurements. Your duties construct the automation processes of a specific manufacturing process. The different processes you work with govern the delivery and production of the process. You streamline processes for maximum efficiency without violating regulations or sacrificing the quality of products.

What is the difference between Remote Automation Engineer vs Remote Software Developer?

AspectRemote Automation EngineerRemote Software Developer
Required CredentialsBachelor's in Engineering, certifications in automation tools (e.g., PLC, SCADA)Bachelor's in Computer Science or related, coding certifications (e.g., Java, Python)
Work EnvironmentIndustrial settings, control systems, manufacturingOffice or remote, software development environments
Employer & Industry UsageManufacturing, industrial automation companiesTech companies, startups, software firms
Common Search & ComparisonAutomation, control systems, industrial processesProgramming, app development, coding projects

Remote Automation Engineers focus on designing and maintaining automation systems in industrial environments, requiring engineering credentials and knowledge of control systems. Remote Software Developers primarily write and maintain software applications, with a focus on coding skills and software development tools. While both roles can be remote, their industries, tools, and expertise areas differ significantly.

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

To thrive as a Remote Automation Engineer, you need a solid background in software development, scripting languages (such as Python or JavaScript), and automation frameworks, typically supported by a degree in computer science or a related field. Familiarity with CI/CD pipelines, testing tools like Selenium or Jenkins, and certifications such as ISTQB or AWS Certified DevOps Engineer are often required. Strong problem-solving abilities, self-motivation, and clear communication are critical soft skills for collaborating effectively in a distributed environment. These competencies ensure efficient automation processes, seamless integration, and successful remote teamwork in fast-paced technology projects.
More about Remote Automation Engineer jobs
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What cities near Fargo, ND are hiring for Remote Automation Engineer jobs? Cities near Fargo, ND with the most Remote Automation Engineer job openings:
Remote Automation Engineer jobs near you
Infographic showing various Remote Automation Engineer job openings in Fargo, ND as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $105,179 per year, or $50.6 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Fargo, ND • Remote

Full-time

Re-posted 14 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