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Remote Computer Networking Intern Jobs in Baltimore, MD

Sales Intern

Baltimore, MD ยท On-site +1

$22 - $23/hr

You'll walk away with meaningful experience for your resume, a strong network, and a clear path to ... The expected hour rate for this remote internship position is $22.00-$23.00 an hour. This range ...

Must possess a bachelor's degree in computer science, information systems, engineering or other ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

Must possess a bachelor's degree in computer science, information systems, engineering or other ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

CNO Developer

Annapolis, MD ยท On-site +1

$86K - $198K/yr

Remote Work: No Job Number: R0226193 Location: Annapolis Junction,MD,US Share job via: Share CNO Developer The Opportunity: As a computer network operations (CNO) specialist, you know that embedded ...

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Remote Computer Networking Intern information

See Baltimore, MD salary details

$8

$16

$24

How much do remote computer networking intern jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote computer networking intern in Baltimore, MD is $16.93, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $19.09 per hour, depending on experience, location, and employer.

What does a remote computer networking intern do?

A Remote Computer Networking Intern assists IT teams by supporting the design, implementation, and maintenance of computer networks from a remote location. They may help troubleshoot network issues, configure hardware and software, monitor network performance, and document technical processes. Interns often learn about network security, protocols, and remote management tools while gaining hands-on experience in a professional environment. This role is ideal for students or recent graduates seeking practical exposure to networking concepts without needing to be physically present in an office.

What are the key skills and qualifications needed to thrive as a remote computer networking intern?

To thrive as a Remote Computer Networking Intern, you need foundational knowledge of networking concepts, protocols (like TCP/IP), and relevant coursework or a degree in computer science or IT. Familiarity with networking tools such as Wireshark, Cisco Packet Tracer, and basic command-line interfaces, along with certifications like CompTIA Network+ or Cisco CCNA, are typically beneficial. Strong problem-solving abilities, effective communication, and self-motivation help you stand out in a remote setting. These skills ensure you can troubleshoot issues independently, collaborate virtually, and adapt to the fast-paced nature of networking environments.

What types of projects and collaboration can I expect as a remote computer networking intern?

As a Remote Computer Networking Intern, you'll typically work on projects such as configuring virtual networks, troubleshooting connectivity issues, or assisting with network automation scripts. Collaboration often occurs through video calls, chat platforms, and shared documentation with network engineers and IT team members. You'll likely participate in regular team meetings, contribute to group problem-solving, and may be paired with a mentor for guidance. This environment helps build both your technical skills and your ability to communicate effectively in a distributed team setting.

What is the difference between Remote Computer Networking Intern vs Remote Network Support Technician?

AspectRemote Computer Networking InternRemote Network Support Technician
CredentialsBasic networking knowledge, possibly pursuing related certificationsCertifications like CompTIA Network+ or Cisco CCNA often preferred
Work EnvironmentInternship setting, learning-focused, entry-level tasksSupport-focused role, troubleshooting, maintaining networks remotely
Employer & IndustryIT departments, tech companies, educational institutionsManaged service providers, corporate IT teams, telecom companies
Search & Comparison IntentLearning, entry-level opportunities, internshipsSupport roles, troubleshooting, network maintenance

The Remote Computer Networking Intern typically focuses on gaining foundational knowledge through an internship, assisting with basic network tasks. In contrast, the Remote Network Support Technician handles more advanced troubleshooting and maintenance tasks remotely, often requiring relevant certifications. Both roles are essential in the IT industry but differ in experience level and responsibilities.

What are popular job titles related to Remote Computer Networking Intern jobs in Baltimore, MD?

For Remote Computer Networking Intern jobs in Baltimore, MD, the most frequently searched job titles are:

What cities near Baltimore, MD are hiring for Remote Computer Networking Intern jobs?

Cities near Baltimore, MD with the most Remote Computer Networking Intern job openings:

Infographic showing various Remote Computer Networking Intern job openings in Baltimore, MD as of June 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 48% Physical, 3% Hybrid, and 49% Remote job distribution, with an average salary of $35,210 per year, or $16.9 per hour.

Data Scientist & Machine Learning Engineer Intern

DMS International

Silver Spring, MD โ€ข On-site, Remote

Part-time, Internship

Posted 14 hours ago

Posted today


Job description

Data Management Services, Inc. (DMS International) is a professional services firm headquartered in Silver Spring, Maryland, with work locations throughout the continental United States. We prepare managers and executives to lead their workforce through customized learning solutions that drive the standards of an ever-changing world. We build creative, unique, and engaging learning experiences for commercial, civilian and defense organizations. Our high-caliber talent, delivery methodology and innovative solutions contribute to preparing a workforce that is ready for the future. You can join us on this journey to bring efficiency and creativity to our customers.
At DMS, we are the catalyst for effective workforce transformation. To achieve this, we hire professionals who take pride in doing quality work and who are excited about contributing to the professional development of tomorrow's leaders.
DMS seeks candidates that possess and display the attributes that reflect our Core Values of:
  • Quality in delivering solutions
  • Leadership
  • Teamwork
  • Innovation
  • Integrity in conduct
  • Responsiveness to our customer's mission.

DMS International is an Equal Opportunity Employer. We make employment decisions without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, pregnancy, childbirth, lactation and related medical conditions, genetic factors, military/veteran status, or other characteristics protected by law. We encourage individuals from all backgrounds to apply.
Job Description
DMS is seeking a Data Scientist & Machine Learning Engineer Intern to join our technical team. The intern will support the design, development, testing, and implementation of AI-powered products for content creation, learning, training, simulations, and decision support. Working under the supervision of the AI and Simulation Program Manager, the intern will collaborate with developers, instructional designers, simulation specialists, and subject matter experts to transform data and emerging AI technologies into practical applications.
Responsibilities
  • Support the development of Generative AI and Large Language Model (LLM) applications, including prompt engineering and Retrieval-Augmented Generation (RAG)
  • Develop AI capabilities for transforming source documents into courses, learning content, assessments, scenarios, case studies, and other digital content
  • Assist in developing AI-powered simulations and serious games, including dynamic scenarios, intelligent agents, participant analytics, and after-action reports
  • Collect, clean, analyze, and visualize structured and unstructured data
  • Develop natural language processing (NLP) solutions for document summarization, semantic search, classification, information extraction, and question answering
  • Build prototypes and integrate AI/ML models with applications through APIs and cloud services
  • Conduct model testing and evaluation for performance, accuracy, reliability, bias, and hallucinations
  • Support responsible AI practices, model documentation, data governance, and AI risk management
  • Develop, train, test, and evaluate machine learning and predictive models
  • Research emerging technologies such as agentic AI, multimodal AI, synthetic data, digital twins, knowledge graphs, and adaptive learning

Required Skills & Experience
  • Familiarity with machine learning frameworks such as Scikit-learn, PyTorch, and/or TensorFlow
  • Knowledge of Generative AI concepts, LLMs, prompt engineering, embeddings, RAG, and/or Hugging Face
  • Familiarity with REST APIs, Git/GitHub, and basic application development
  • Knowledge of statistical analysis, data visualization, and predictive modeling
  • Strong analytical and problem-solving skills
  • Curiosity about emerging AI technologies and willingness to experiment and learn
  • Ability to work independently and collaboratively within a multidisciplinary team
  • Experience through academic projects, research, hackathons, personal projects, or internships involving machine learning, Generative AI, NLP, simulations, analytics, or AI application development is preferred
  • GitHub portfolio or examples of AI/ML projects are encouraged
  • Experience or coursework in Python, SQL, Pandas, NumPy, and Jupyter Notebook
  • Exposure to OpenAI, Azure OpenAI, IBM watsonx, AWS/GCP AI services, LangChain, LlamaIndex, vector databases, FastAPI, Django, Flask, or Docker is a plus.

Education
  • Currently pursuing or recently completed a Bachelor's, Master's, or doctoral degree in Computer Science, Data Science, Artificial Intelligence/Machine Learning, Statistics, Applied Mathematics, Computer or Software Engineering, Information Systems, Operations Research, or a related quantitative or technical field

Position Type
  • Part-time Intern

Location
  • Remote