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Part Time Computer Science Jobs in Washington (NOW HIRING)

STEM Instructor

Crofton, MD · On-site

$15 - $20/hr

The Instructor possesses excellent knowledge in the field of Computer Science. They get to know ... Ideal candidates will have a flexible schedule and be comfortable working part-time hours that ...

STEM Instructor

Crofton, MD · On-site

$15 - $20/hr

The Instructor possesses excellent knowledge in the field of Computer Science. They get to know ... Ideal candidates will have a flexible schedule and be comfortable working part-time hours that ...

We are seeking a Part-Time Junior Web Developer (CMS Webflow/Framer) to support the development of ... Coursework or certifications in Web Development, Computer Science, or Design are a plus. Relocation ...

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Part Time Computer Science information

See Washington salary details

$64K

$94.1K

$111K

How much do part time computer science jobs pay per year?

As of Jun 11, 2026, the average yearly pay for part time computer science in Washington is $94,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $105,900.00 per year, depending on experience, location, and employer.

What Are Part-Time Jobs in Computer Science?

Part-time computer science jobs focus on developing programs, engineering computer infrastructure, providing support for computer systems, and teaching computer-related subjects. As a part-time computer science professional, you perform your duties for less than 40 hours per week. As a computer science instructor, you teach coding and related skills to help students learn to develop or build programs, platforms, and networks. Your responsibilities as a computer scientist include installing, repairing, or customizing software or systems. You can also work in a job where you provide technical support for computer users. Some part-time professionals freelance or work on weekends and evenings.

Is computer science dead due to AI?

Computer science remains a vital field for part-time roles, as AI tools and algorithms require ongoing development, understanding, and maintenance. Skills in programming, data analysis, and machine learning are still in demand, and professionals can adapt by learning new technologies and staying current with industry advancements.

What are part-time computer science jobs?

Part-time computer science jobs are positions in the technology field that require fewer working hours than full-time roles, often accommodating students, professionals seeking flexible schedules, or those balancing other commitments. These jobs can include roles such as software developer, IT support, web developer, or research assistant, and are available in various industries and organizations. Part-time positions typically offer flexible scheduling and may be onsite or remote, making them ideal for individuals seeking experience or supplemental income while managing other responsibilities.

What jobs pay $2000 a day?

High-paying jobs in computer science or related fields, such as software engineers, data scientists, or cybersecurity consultants, can sometimes pay $2000 or more per day, especially for freelance or contract work. These roles typically require advanced skills, experience, and often involve project-based or consulting work in specialized environments.

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

AspectPart Time Computer SciencePart Time Software Developer
Required CredentialsTypically a degree or coursework in computer scienceOften a degree in computer science or related field, sometimes self-taught
Work EnvironmentAcademic settings, research labs, or online learning platformsTech companies, startups, freelance projects, or remote work
Employer & Industry UsageEducational institutions, research organizations, online education providersSoftware firms, IT departments, freelance clients
Common Search & Comparison IntentUnderstanding academic or foundational roles in computer scienceSeeking practical software development opportunities in part-time roles

Part Time Computer Science generally focuses on foundational knowledge, research, and academic coursework, while Part Time Software Developer emphasizes practical coding, application development, and project work. Both roles often require similar educational backgrounds but differ in work environment and industry application.

What job makes $10,000 a month without a degree?

A freelance software developer or programmer can earn $10,000 a month by building applications, websites, or providing consulting services, often relying on skills, portfolio, and experience rather than formal education. Success in such roles typically requires strong coding skills, self-motivation, and the ability to secure clients independently.

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

To thrive as a Part-Time Computer Science Instructor, you should have a solid background in programming languages, algorithms, and computer science fundamentals, typically supported by a relevant degree or professional experience. Familiarity with learning management systems (LMS), coding platforms, and common programming tools is important for effective instruction and student engagement. Strong communication, adaptability, and patience help instructors explain complex concepts clearly and support diverse learners. These skills ensure that students receive quality education and are well-prepared for careers in technology.

Can I make 200K with a computer science degree?

A computer science degree can lead to high-paying roles such as software engineer, data scientist, or systems architect, with salaries reaching or exceeding 200K in certain regions and industries. Achieving this level often requires experience, specialized skills, certifications, and working in high-demand markets or senior positions.

What are some common challenges faced by part-time Computer Science professionals, and how can they be addressed?

Part-time Computer Science professionals often face challenges such as managing workload across limited hours, staying updated with rapidly evolving technologies, and integrating effectively with full-time team members. To address these, clear communication with supervisors about workload expectations is essential, as is setting aside dedicated time for skill development. Additionally, participating in regular team meetings and utilizing collaboration tools can help maintain strong connections with colleagues and ensure project alignment despite reduced hours.
What are the most commonly searched types of Computer Science jobs in Washington? The most popular types of Computer Science jobs in Washington are:
What are popular job titles related to Part Time Computer Science jobs in Washington? For Part Time Computer Science jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Part Time Computer Science jobs in Washington look for? The top searched job categories for Part Time Computer Science jobs in Washington are:
What cities in Washington are hiring for Part Time Computer Science jobs? Cities in Washington with the most Part Time Computer Science job openings:
Infographic showing various Part Time Computer Science job openings in Washington as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $94,129 per year, or $45.3 per hour.

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

TRIAEM, LLC

Sterling, VA • On-site

$105K - $144K/yr

Part-time

Posted 11 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.