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E Learning Developer Intern Jobs in Virginia (NOW HIRING)

Machine Learning Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum ... Experience using lightweight frontend tools (e.g., Streamlit, Gradio) to build functional ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to ...

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E Learning Developer Intern information

What does an E Learning Developer Intern do?

An E Learning Developer Intern assists in the design, development, and implementation of online educational content and courses. Their responsibilities often include creating multimedia elements like videos and quizzes, working with instructional designers to structure learning modules, and testing e-learning products for usability and quality. They may use authoring tools such as Articulate Storyline or Adobe Captivate and collaborate with subject matter experts to ensure content accuracy. This role helps interns gain experience with educational technology and digital content creation.

What are the key skills and qualifications needed to thrive as an E Learning Developer Intern?

To thrive as an E-Learning Developer Intern, you need a strong grasp of instructional design principles, basic proficiency in multimedia content creation, and familiarity with e-learning platforms, often gained through coursework or related experience. Knowledge of tools such as Articulate Storyline, Adobe Captivate, and Learning Management Systems (LMS) is typically expected. Strong communication, creativity, and attention to detail are essential soft skills for collaborating with subject matter experts and producing engaging content. These skills and qualities are critical for developing effective and interactive learning experiences that meet organizational training objectives.

What types of projects can an E Learning Developer Intern expect to work on during their internship?

As an E Learning Developer Intern, you can expect to be involved in creating interactive training modules, designing multimedia content, and assisting with the development of online courses. You may work with subject matter experts to gather content, use authoring tools like Articulate Storyline or Adobe Captivate, and help test courses for usability and accessibility. Collaboration with instructional designers, graphic designers, and IT staff is common, providing a well-rounded experience in digital learning development.

What is the difference between E Learning Developer Intern vs E Learning Specialist?

AspectE Learning Developer InternE Learning Specialist
CredentialsTypically pursuing or recent graduate in education, instructional design, or related fieldBachelor's or master's in instructional design, education technology, or related field
Work EnvironmentInternship setting, often in educational institutions or corporate training departmentsFull-time role in corporate, educational, or e-learning companies
ResponsibilitiesAssisting in creating e-learning content, learning management system (LMS) support, basic design tasksDesigning, developing, and implementing e-learning courses, managing LMS, evaluating learner feedback

While both roles involve e-learning content, the E Learning Developer Intern is an entry-level position focused on supporting and learning, whereas the E Learning Specialist is a full-time professional responsible for designing and managing comprehensive e-learning programs.

How much do eLearning developers make?

E Learning Developer Interns typically earn between $15 and $25 per hour, depending on experience, location, and the company's size. As interns, compensation may be lower or include stipends, and full-time eLearning developers generally earn between $60,000 and $90,000 annually, with higher salaries for those skilled in tools like Articulate or Adobe Captivate.

What are the most commonly searched types of E Learning Developer jobs in Virginia?

The most popular types of E Learning Developer jobs in Virginia are:

What are popular job titles related to E Learning Developer Intern jobs in Virginia?

For E Learning Developer Intern jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching E Learning Developer Intern jobs in Virginia look for?

The top searched job categories for E Learning Developer Intern jobs in Virginia are:

What cities in Virginia are hiring for E Learning Developer Intern jobs?

Cities in Virginia with the most E Learning Developer Intern job openings:

AI Machine Learning Developer Principal

Chantilly, VA • On-site, Remote

SAIC
IT Services • 10K+ employees

$160K - $200K/yr

Full-time

Posted 5 days ago


SAIC rating

7.6

Company rating: 7.6 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

103rd of 226 rated it services


Job description

Job ID: 2616563

Location: Chantilly, VA, US

Date Posted: 2026-09-04

Category: Engineering and Sciences

Subcategory: Machine Learning Engineer

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: TS.SCI

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_HYBRID


Description

We are seeking to build a team of AI/ML Developers to join our Solutions and Technology Group, reporting to the Intel Space CTO. In this matrixed role, you will lead the creation, prototyping, and operationalization of cutting-edge Artificial Intelligence and Machine Learning (AI/ML) Proof of Concepts (PoCs) specifically tailored for Intelligence Community (IC) mission use cases.

This is a dynamic, high-impact set of positions supporting multiple programs. You will operate as a shared technical subject matter expert, balancing intermixed timelines, competing program priorities, and evolving delivery expectations. The ideal candidates excels at rapid prototyping, taking complex concepts and turning them into functional demonstrations. This is a hybrid opportunity and are open to candidates in Chantilly or NOVA. Candidates must have an active TS/SCI clearance. 

1. Rapid PoC & Demo Prototyping (40%)

  • Design & Build: Rapidly design, build, and deploy high-fidelity, visual AI/ML prototypes (GenAI/LLMs, NLP, computer vision, predictive analytics) to address complex IC mission needs. The PoCs can be either on the unclassified side or on-prem in a SCIF.
  • Mission Alignment: Collaborate with program leads and stakeholders to align prototypes with real-world user workflows and emerging technical requirements.

2. Operationalization & MLOps Integration (30%)

  • Secure Deployment: Transition sandboxed PoCs into secure, multi-tenant cloud environments (AWS C2S, Azure Secret) and air-gapped networks.
  • Pipeline Engineering: Build automated CI/CD pipelines, containerize applications, and ensure compliance with federal software assurance and security standards.

3. Matrixed Program Support & Timeline Management (20%)

  • Cross-Program Execution: Successfully divide technical execution across multiple active programs with distinct, overlapping deliverable timelines.
  • Priority Coordination: Proactively negotiate schedules with multiple Project Managers to ensure all high-priority milestones are met.

4. Technical Communication & Stakeholder Engagement (10%)

  • Demos & Docs: Conduct compelling live technical demonstrations for senior IC customers and maintain clean, reusable codebases and architectural documentation.

Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical discipline with 9+ years of relevant experience; OR Master’s degree with 7 years of relevant experience.
  • Candidates must be U.S. Citizens.
  • Clearance: Active TS/SCI (or ability to immediately upgrade from TS if SCI was held within the last 3 years).
  • Programming Skills: Proficiency in Python and software engineering practices (version control with Git, unit testing, clean code architectures).
  • Foundational AI/ML Frameworks: Hands-on experience developing ML models using frameworks like PyTorch or TensorFlow, and handling structured/unstructured data.

Preferred Qualifications:

  • Experience deploying AI/ML models in secure, multi-tenant cloud environments (e.g., AWS C2S / SC2S, Azure Government) or air-gapped networks.
  • Familiarity with MLOps and orchestration platforms (e.g., MLflow, Kubeflow, Apache Airflow, Triton Inference Server).
  • Experience using lightweight frontend tools (e.g., Streamlit, Gradio) to build functional, interactive user interfaces for demonstrations.
  • Familiarity with IC missions.

Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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