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Remote Software Engineer Internship Jobs in Alabama

Teledyne

Software Development Manager

Huntsville, AL · On-site +1

$121K - $160K/yr

This position offers the opportunity to mentor talented engineers, foster innovation, and deliver ... Experience managing remote or distributed teams in fast-paced, growth-oriented settings.

Kemper

Data Quality Engineer

Birmingham, AL · Remote

$107K - $128K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to ...

SAIC

OpenGL Developer

Huntsville, AL · On-site +1

$48.25 - $65/hr

Software Subcategory: SW Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance Required: Secret Clearance Level Must Be Able to Obtain: None Potential for Remote ...

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Remote Software Engineer Internship information

What are some common challenges faced by remote software engineer interns, and how can they overcome them?

Remote software engineer interns often face challenges such as communication barriers, staying motivated without in-person supervision, and navigating differing time zones. To overcome these, it's important to proactively schedule regular check-ins with mentors, participate actively in team chats or stand-ups, and set a consistent daily routine. Utilizing collaboration tools like Slack, GitHub, and project management platforms can help interns stay connected and aligned with their team’s goals.

What are the key skills and qualifications needed to thrive as a remote software engineer intern?

To thrive as a Remote Software Engineer Intern, you need a solid understanding of programming fundamentals, familiarity with software development methodologies, and current enrollment in or recent completion of a computer science or related degree program. Experience with version control systems like Git, collaboration platforms such as GitHub or Jira, and basic knowledge of cloud services or popular frameworks is typically expected. Strong communication, self-motivation, and time management skills help interns excel in remote environments and collaborate effectively with distributed teams. These skills and qualities are crucial for delivering high-quality code, learning quickly, and contributing productively from a remote setting.

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

AspectRemote Software Engineer InternshipRemote Software Developer
CredentialsTypically students or recent graduates, may require coursework in CSUsually requires a degree in CS or related field, with some experience
Work EnvironmentInternship program, often part-time or temporary, supervised by senior staffFull-time or freelance, more autonomous, ongoing projects
Industry UsageCommon in tech companies, startups, and corporate training programsWidespread across industries, including tech, finance, and healthcare

The main difference is that a Remote Software Engineer Internship is a temporary, entry-level position designed for learning and gaining experience, often for students or recent grads. In contrast, a Remote Software Developer is a more advanced, ongoing role requiring more experience and responsibility. Internships serve as a stepping stone into the industry, while developer roles are permanent or long-term positions.

What is a remote software engineer internship?

A Remote Software Engineer Internship is a temporary position for students or recent graduates to gain practical experience in software development while working from a location outside the company's office, usually from home. Interns collaborate with engineering teams, contribute to real projects, and learn industry-standard tools and practices. This type of internship is ideal for individuals seeking flexibility and hands-on learning in software engineering without the need to relocate. Remote internships often include mentorship, code reviews, and opportunities to build a professional network. They are a great way to gain industry experience and improve technical skills in a real-world setting.
What are the most commonly searched types of Remote Software Engineer jobs in Alabama? The most popular types of Remote Software Engineer jobs in Alabama are:
What are popular job titles related to Remote Software Engineer Internship jobs in Alabama? For Remote Software Engineer Internship jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Remote Software Engineer Internship jobs in Alabama look for? The top searched job categories for Remote Software Engineer Internship jobs in Alabama are:
What cities in Alabama are hiring for Remote Software Engineer Internship jobs? Cities in Alabama with the most Remote Software Engineer Internship job openings:
Remote Software Engineer Internship jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Birmingham, AL • 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