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Remote E Learning Developer Jobs in Virginia (NOW HIRING)

Vienna, VA / Chantilly, VA (Hybrid / Flexible Remote options available) Responsibilities ... pipeline platforms (e.g., MLflow, Kubeflow, AWS SageMaker). * Cloud & DevOps Foundations:

Collaborate with instructional designers, SMEs, e-learning developers, and editors to create system training materials. * Ensure 508 compliance for courseware and other training materials. * Develop ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work ...

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Strong Python skills and hands-on experience with ML libraries (e.g., scikit-learn, XGBoost ... Experience with AWS-based data infrastructure and related DevOps practices. * Demonstrated ability ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of ...

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Showing results 1-20

Remote E Learning Developer information

See Virginia salary details

$10.9K

$83.2K

$138.8K

How much do remote e learning developer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote e learning developer in Virginia is $83,166.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,400.00 and $137,800.00 per year, depending on experience, location, and employer.

What is a remote e learning developer?

A Remote E Learning Developer designs, develops, and implements online educational content, such as courses, tutorials, and interactive learning materials. They use e-learning authoring tools, multimedia, and instructional design principles to create engaging training experiences. Working remotely, they collaborate with educators, subject matter experts, and organizations to tailor content for learners. Their role may also include troubleshooting technical issues, ensuring accessibility, and optimizing courses for different platforms.

What are some typical daily responsibilities for a remote e learning developer?

As a Remote E Learning Developer, your typical day might include designing engaging online course modules, developing interactive multimedia content, and collaborating virtually with subject matter experts to ensure accuracy and effectiveness. You will often upload and manage course materials in learning management systems, troubleshoot user issues, and gather learner feedback to continuously improve content. Regular virtual meetings and check-ins with instructional designers, project managers, and other team members are common to track progress and maintain cohesive learning experiences. This remote role combines both independent task management and teamwork, making strong communication and organizational skills essential.

What are the key skills and qualifications needed to thrive in the remote e learning developer position, and why are they important?

To thrive as a Remote E Learning Developer, you need expertise in instructional design, multimedia content creation, and strong digital literacy, often backed by a degree in education or a related field. Familiarity with Learning Management Systems (LMS) like Moodle or Canvas, authoring tools such as Articulate Storyline or Adobe Captivate, and relevant certifications (e.g., ATD) are highly valued. Excellent communication, time management, and self-motivation are critical soft skills for remote collaboration and project deadlines. These abilities ensure high-quality, engaging learning experiences and effective teamwork in a virtual environment.

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

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

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

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

Infographic showing various Remote E Learning Developer job openings in Virginia as of September 2026, with employment types broken down into 72% Full Time, 10% Part Time, 4% Temporary, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $83,166 per year, or $40 per hour.

AI Machine Learning Developer Principal

Chantilly, VA • On-site, Remote

SAIC
IT Services • 10K+ employees

$160K - $200K/yr

Full-time

Posted 4 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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