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Remote Internship Automation Engineer Jobs in Raleigh, NC

Quora

AI Automation Engineer -Remote

Durham, NC · On-site +1

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Quora

AI Automation Engineer -Remote

Raleigh, NC · On-site +1

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

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All JobsRemote Internship Automation Engineer JobsRemote Internship Automation Engineer Jobs in Raleigh, NC

Remote Internship Automation Engineer information

See Raleigh, NC salary details

$36K

$104.1K

$158.4K

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

As of Jul 3, 2026, the average yearly pay for remote internship automation engineer in Raleigh, NC is $104,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,100.00 and $120,100.00 per year, depending on experience, location, and employer.

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

AspectRemote Internship Automation EngineerRemote Internship QA Tester
Required SkillsAutomation tools, scripting, programmingManual testing, bug tracking, test case execution
Work EnvironmentCollaborates with developers, uses automation frameworksFocuses on testing software, reports issues
Industry UsageSoftware development, tech companiesSoftware, app development, tech firms

While both roles involve software quality, Automation Engineers focus on creating automated tests using scripting and tools, whereas QA Testers primarily perform manual testing. Interns in automation roles develop skills in scripting and automation frameworks, making them more technical. QA internships emphasize manual testing and bug reporting. Both are essential in software development, but Automation Engineers typically work more closely with development teams to streamline testing processes.

What is a Remote Internship Automation Engineer?

A Remote Internship Automation Engineer is an intern who works remotely to design, develop, and maintain automated systems and processes, often within software development, IT, or business operations. Their responsibilities might include writing scripts, creating automated tests, and optimizing workflows to improve efficiency. These positions allow interns to gain hands-on experience with automation tools and technologies while working from home or another remote location. The role typically requires knowledge of programming languages, problem-solving skills, and the ability to work independently and communicate effectively with a remote team.

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

To thrive as a Remote Internship Automation Engineer, you need a solid understanding of programming (commonly Python or Java), knowledge of automation frameworks like Selenium, and a background in computer science or related fields. Familiarity with source control systems (e.g., Git), CI/CD tools like Jenkins, and relevant automation certifications are often expected. Strong problem-solving skills, self-motivation, and effective remote communication are crucial soft skills for this position. These competencies are important for building reliable automation solutions, collaborating with distributed teams, and ensuring project success in a remote work environment.

How does a remote internship as an Automation Engineer typically structure collaboration and mentorship?

In a remote internship for Automation Engineering, collaboration is primarily facilitated through digital platforms like Slack, Microsoft Teams, and project management tools. Interns often participate in daily or weekly virtual stand-up meetings with their team to discuss progress, blockers, and upcoming tasks. Mentorship is commonly structured through regular one-on-one check-ins with a designated supervisor or mentor, who provides feedback, technical guidance, and support. Despite the remote setting, most organizations strive to foster a supportive environment by encouraging interns to ask questions, join team discussions, and participate in code reviews to enhance learning and integration with the team.
What are popular job titles related to Remote Internship Automation Engineer jobs in Raleigh, NC? For Remote Internship Automation Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Internship Automation Engineer jobs in Raleigh, NC look for? The top searched job categories for Remote Internship Automation Engineer jobs in Raleigh, NC are:
Remote Internship Automation Engineer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Durham, NC • Remote

Full-time

Posted 11 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