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Computer Science Intern Remote Jobs in Alabama (NOW HIRING)

Frontier Technology Inc.

AI/ML Engineer

Huntsville, AL · On-site +1

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field. * Active Secret clearance preferred; ability to obtain one is required . #LI-KM1 #LI-Remote

Frontier Technology Inc.

AI/ML Engineer

Huntsville, AL · Remote

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field. * Active Secret clearance preferred; ability to obtain one is required . #LI-KM1 #LI-Remote ...

Frontier Technology Inc.

AI/ML Engineer

Huntsville, AL · Remote

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field. * Active Secret clearance preferred; ability to obtain one is required . #LI-KM1 #LI-Remote ...

Ultra

Associate Software Engineer

Huntsville, AL · On-site +1

Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, or a related ... remote #LI-JK1 Notice Due to the nature of the programs we deliver for our customers, candidates ...

CSAA

BA/BS in statistics, mathematics, actuarial science or related area and 5 years of post-bachelor ... Basic computer software programming skills * Effective problem solving and critical thinking skills

Summit 7 Systems

Service Desk Analyst

AL · On-site +1

$40K - $55K/yr

Monitor the remote monitoring and management system alerts and notifications and respond ... Associates or bachelor's degree in computer science or MIS from a reputable institute OR two (2) ...

ISSAC LLC

Advanced Scrum Master

Huntsville, AL · On-site +1

$53.50 - $71.50/hr

U.S. Citizenship * Bachelor's degree or higher in Systems Engineering, Computer Science ... Experience supporting remote or geographically distributed teams * Experience supporting ...

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Computer Science Intern Remote information

What are the key skills and qualifications needed to thrive as a Computer Science Intern (Remote), and why are they important?

To thrive as a Computer Science Intern (Remote), you generally need a solid foundation in programming languages (such as Python, Java, or C++), data structures, and algorithms, supported by progress toward a relevant degree. Familiarity with version control systems like Git, collaboration tools such as Slack or Zoom, and experience with integrated development environments (IDEs) are typically expected. Strong problem-solving abilities, self-motivation, and clear written communication are standout soft skills for remote work. These skills and qualities are crucial for contributing effectively to projects, collaborating with distributed teams, and adapting to the dynamic requirements of remote internships.

What is the difference between Computer Science Intern Remote vs Software Developer Intern Remote?

AspectComputer Science Intern RemoteSoftware Developer Intern Remote
Required CredentialsTypically pursuing a computer science degree or related fieldSimilar; often pursuing a computer science or software engineering degree
Work EnvironmentRemote, often part-time or summer internshipRemote, often part-time or summer internship
Employer & Industry UsageTech companies, startups, research labsTech companies, software firms, startups
Comparison Search IntentUnderstanding internship roles in computer scienceLooking for software development internship opportunities

Both roles are remote internships aimed at students in computer science or related fields. The main difference lies in the job titles; 'Computer Science Intern Remote' is broader, focusing on foundational computer science skills, while 'Software Developer Intern Remote' emphasizes software development tasks. Candidates should review specific job descriptions to understand the focus areas and responsibilities.

What does a Computer Science Intern do in a remote position?

A Computer Science Intern working remotely assists with software development, debugging, testing, and other technical tasks under the guidance of experienced engineers. Responsibilities may include writing code, collaborating on projects using tools like Git, and participating in virtual meetings to discuss project goals. Remote interns often communicate through email, chat, and video calls, allowing them to contribute to real-world projects from any location. The role helps students and recent graduates gain practical industry experience and build their professional network.

How do computer science interns working remotely typically collaborate with their team and receive mentorship?

Remote computer science interns often use collaboration tools such as Slack, Microsoft Teams, or Zoom to communicate with their teammates and supervisors. Regular check-ins, virtual stand-up meetings, and code reviews are common practices to ensure alignment and support. Mentorship is usually provided through scheduled one-on-one video calls and shared project management platforms, which help interns receive feedback and guidance. Clear documentation and open channels for questions also play a key role in helping interns learn and succeed while working remotely.
What are the most commonly searched types of Computer Science Remote jobs in Alabama? The most popular types of Computer Science Remote jobs in Alabama are:
Computer Science Intern Remote jobs near you
AI/ML Engineer

AI/ML Engineer

Frontier Technology Inc.

Huntsville, AL • On-site, Remote

Full-time

Posted 6 hours ago

Job description

Overview
FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.
FTI Defense delivers mission-focused solutions to the Department of Defense/Depratment of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.
Responsibilities
  • Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
  • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
  • Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).
  • Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).
  • Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
  • Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).
  • Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.
  • Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
  • Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.
  • Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.

Education/Qualifications
Minimum Requirements:
  • Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.
  • 6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.
  • Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.
  • Strong Python development skills with hands-on experience building AI/ML solutions.
  • Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.
  • Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.
  • Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).
  • Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.
  • Professional experience integrating AI capabilities into production systems or mission applications.

Preferred Qualifications:
  • Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.
  • Understanding of prompt engineering, retrieval quality, and grounding methods.
  • Exposure to GPU-based or edge inference environments.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

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