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Part Time Computer Science Training Jobs in Washington, DC

SAMPRIME LLC

iCode Instructor

Severna Park, MD

$15 - $20/hr

The ideal candidate will have excellent knowledge in computer science and the ability to connect ... We seek flexible, part-time candidates whose availability aligns with our rotating class schedule.

SAMPRIME LLC

iCode Instructor

Severna Park, MD

$15 - $20/hr

The ideal candidate will have excellent knowledge in computer science and the ability to connect ... We seek flexible, part-time candidates whose availability aligns with our rotating class schedule.

SAMPRIME LLC

iCode Instructor

Severna Park, MD

$15 - $20/hr

The ideal candidate will have excellent knowledge in computer science and the ability to connect ... We seek flexible, part-time candidates whose availability aligns with our rotating class schedule.

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All JobsPart Time Computer Science Training JobsPart Time Computer Science Training Jobs in Washington, DC

Part Time Computer Science Training information

What are some common challenges faced by part-time computer science trainers, and how can they be addressed?

Part-time computer science trainers often encounter challenges such as managing diverse student backgrounds, keeping up with rapidly changing technology, and balancing multiple responsibilities across different commitments. To address these, trainers can develop adaptable lesson plans, leverage online resources for up-to-date materials, and use collaborative tools to stay organized. Additionally, fostering open communication with students and other faculty members can help create a supportive learning environment and ensure a successful training experience.

What is part time computer science training?

Part time computer science training refers to educational programs or courses in computer science that are designed to be completed on a flexible schedule, typically requiring fewer hours per week than full-time programs. These courses are ideal for individuals who have other commitments, such as work or family, and want to gain or improve their computer science skills at their own pace. Training may cover topics like programming, data structures, algorithms, and software development. Part time training can be offered by universities, online platforms, or bootcamps, and may lead to certificates or preparation for further study. This approach allows learners to balance education with other responsibilities.

What are the key skills and qualifications needed to thrive as a Part-Time Computer Science Trainer, and why are they important?

To thrive as a Part-Time Computer Science Trainer, you need a solid understanding of core computer science concepts, programming languages, and instructional experience, typically backed by a relevant degree or professional certifications. Familiarity with learning management systems (LMS), code collaboration platforms, and educational tools like Zoom or Google Classroom is often required. Strong communication, patience, and adaptability help trainers effectively engage and support diverse learners. These skills are essential for delivering high-quality training, fostering student success, and keeping pace with evolving technology.

What is the difference between Part Time Computer Science Training vs Part Time Software Developer?

AspectPart Time Computer Science TrainingPart Time Software Developer
CredentialsTypically no formal credentials required; focus on foundational knowledgeOften requires programming skills, experience, or certifications
Work EnvironmentClassroom or online learning settingsRemote or on-site project-based work
Industry UsageUsed for skill development and educationUsed for actual software development projects
Search IntentLearning and training optionsJob opportunities and freelance work

Part Time Computer Science Training focuses on education and skill-building, often in classroom or online settings, without requiring prior experience. In contrast, Part Time Software Developer roles involve applying programming skills to develop software, typically requiring prior knowledge or certifications. While training prepares you for development work, the developer role involves actual project execution in a professional environment.

Part Time Computer Science Training jobs near you

Senior AI/ML Modeling, Simulation & Analysis Engineer (Part-Time)

TRIAEM, LLC

Sterling, VA

$105K - $144K/yr

Part-time

Posted 28 days ago

Job description


Senior AI/ML Modeling, Simulation & Analysis Engineer (Part-Time)

Active TS/SCI Required
Location: Chantilly, Va or Springfield, Va

We are seeking a Senior AI/ML Modeling, Simulation & Analysis (MS&A) Engineer to support NGA mission initiatives focused on AI modernization, model assurance, and verification frameworks. This part-time role provides high-level technical advisory support across AI/ML strategy, verification, validation, and explainability efforts in classified GEOINT environments.

This is a senior-level opportunity for an experienced engineer who understands both the operational mission and the rigor required for trusted AI systems in national security applications.

Key Responsibilities

  • Conduct AI/ML gap analyses assessing impact across intelligence, command and control, targeting, autonomous systems, and training environments.
  • Provide subject matter expertise in AI Assurance, Independent Verification & Validation (IV&V), and Explainable AI (XAI).
  • Support Analysis of Alternatives (AoA), Design of Experiments (DoE), trade studies, and engineering assessments.
  • Advise Government stakeholders on strategic technical planning, performance engineering, and risk management.
  • Develop quantitative and qualitative metrics to ensure confidence and trust in AI models.
  • Contribute to AI Assurance frameworks including V&V-as-a-Service and advanced T&E methodologies.
  • Evaluate system architectures, cloud capabilities, CI/CD pipelines, and automation workflows.
  • Collaborate across NGA, NSG, IC partners, and industry teams to advance enterprise AI strategy.

Required Qualifications

  • Active TS/SCI clearance (required).
  • Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or related STEM field (or equivalent senior-level experience).
  • Demonstrated experience in AI model verification, validation, and evaluation (IV&V / T&E).
  • Experience supporting AI Assurance and/or Explainable AI (XAI) initiatives.
  • Proficiency in programming languages such as Python, C++, MATLAB, R, or Java.
  • Experience developing engineering solutions leveraging AI, automation, and augmentation technologies.

Desired Qualifications

  • Experience supporting NGA or Intelligence Community programs.
  • Familiarity with DevSecOps, CI/CD pipelines, and cloud-based AI environments.
  • SAFe Agile and/or Model-Based Systems Engineering (MBSE).
  • Experience with Atlassian tools (JIRA, Confluence).
  • Experience working with structured and unstructured Big Data.