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Cybersecurity Part Time Jobs in Virginia (NOW HIRING)

Booz Allen Hamilton, Inc.

Zero Trust Architect

Mclean, VA · On-site +1

$77K - $176K/yr

As a Cybersecurity Architect on our project, you'll be part of the architecture and design efforts ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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All JobsCybersecurity JobsCybersecurity Part Time JobsCybersecurity Part Time Jobs in Virginia

Cybersecurity Part Time information

See Virginia salary details

$56.5K

$131.8K

$184.4K

How much do cybersecurity part time jobs pay per year?

As of Aug 12, 2026, the average yearly pay for cybersecurity part time in Virginia is $131,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $148,700.00 per year, depending on experience, location, and employer.

What is the difference between Cybersecurity Part Time vs Cybersecurity Analyst?

AspectCybersecurity Part TimeCybersecurity Analyst
CredentialsCertifications like CompTIA Security+ or Cisco CCNA SecuritySame certifications, often with additional experience
Work EnvironmentFlexible, often remote or part-time rolesFull-time, office or remote-based roles
Employer & IndustryVarious industries, including tech, finance, healthcarePrimarily tech firms, government agencies, and corporations
Search & Comparison IntentPart-time cybersecurity roles, cybersecurity part time jobsCybersecurity analyst roles, cybersecurity career

Cybersecurity Part Time roles typically offer flexible schedules and may require similar certifications as full-time cybersecurity analyst positions. While part-time roles focus on specific tasks or projects, cybersecurity analysts usually hold full-time positions with broader responsibilities. Both roles are essential in protecting organizational assets, but the main difference lies in work hours and scope of duties.

What is a cybersecurity part time?

A Cybersecurity Part Time job involves working limited hours to help protect an organization’s computer systems and networks from cyber threats. Part-time cybersecurity professionals may assist with monitoring security systems, responding to security incidents, and supporting compliance efforts. These roles are ideal for students, career changers, or those seeking flexible hours while gaining experience in cybersecurity. Tasks may include vulnerability assessments, log analysis, and updating security documentation. While the responsibilities may be similar to full-time roles, part-time positions typically offer more flexible schedules and may focus on specific projects or support tasks.

What are the key skills and qualifications needed to thrive as a cybersecurity part time professional?

To thrive as a Cybersecurity Part Time professional, you need foundational knowledge of information security principles, risk assessment, and relevant experience or certifications like CompTIA Security+ or CISSP. Familiarity with security tools such as firewalls, intrusion detection systems, and vulnerability scanners is typically required. Attention to detail, problem-solving skills, and the ability to communicate security concepts clearly are crucial soft skills. These competencies ensure effective protection of digital assets, quick response to threats, and strong collaboration with technical teams even in a part-time capacity.

What are some common challenges faced by part-time cybersecurity professionals, and how can they overcome them?

Part-time cybersecurity professionals often face challenges such as staying updated with rapidly changing threats and balancing multiple responsibilities across different projects or organizations. Since they may not be fully embedded in a single team, communication and staying aligned with full-time staff can require extra effort. To overcome these challenges, it's beneficial to set aside regular time for industry research, participate in ongoing training, and proactively communicate with colleagues about priorities and incidents. Leveraging collaboration tools and scheduling regular check-ins can also help maintain strong team integration and keep everyone informed.
What are the most commonly searched types of Cybersecurity jobs in Virginia? The most popular types of Cybersecurity jobs in Virginia are:
What cities in Virginia are hiring for Cybersecurity Part Time jobs? Cities in Virginia with the most Cybersecurity Part Time job openings:
Cybersecurity Part Time jobs near you
Infographic showing various Cybersecurity Part Time job openings in Virginia as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $131,822 per year, or $63.4 per hour.

Part-Time Lecturer - Applied Machine Intelligence (Arlington)

Northeastern University

Arlington, VA • On-site

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

Job description

About the Opportunity
The College of Professional Studies at Northeastern University invites applications for a non-tenure track part time faculty lecturer in Applied Machine Intelligence on the Arlington Campus.
The College of Professional Studiesis one of ten colleges of Northeastern University, a nationally ranked private research university. Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities of aspiring individuals in all stages and walks of life. The College teaches undergraduate, graduate, and doctoral students on campus and online in more than 90 programs.
Northeastern University will not provide H-1B, TN, O-1, E-3, or any other type of employment visa sponsorship for the successful applicant to this position, now or in the future. Furthermore, the successful applicant must be able to maintain valid work authorization in the United States throughout the entire appointment without Northeastern University's sponsorship for a visa.
Responsibilities
Qualified candidates must be prepared to work with global student populations.
The Master of Professional Studies in Applied AI is looking for part-time faculty to teach courses across the program with special emphasis on applied artificial intelligence, machine learning, natural language processing, computer vision, and experiential learning addressing business and technical challenges in industry.
Instructional areas include, but are not limited to:
  • Core AI courses: Applied Artificial Intelligence, Applied Machine Learning, Applied Natural Language Processing, Applied Computer Vision
  • Specialized areas: Deep Learning, Generative AI, Prompt Engineering, Conversational AI and Chatbots, Reinforcement Learning
  • Applied domains: Machine Learning for Cybersecurity, AI for 3D Imaging, Recommender Systems, Quantum AI, Blockchain AI, AI for Autonomous Systems
  • Foundational courses (for Connect pathway students): Python programming, Mathematical Concepts, Research Methods and Scientific Writing

The Applied AI degree is a multi-disciplinary, experience-based program that prepares professionals from diverse backgrounds to harness the transformative potential of artificial intelligence. Through courses and projects that focus on applied machine learning, AI implementation, ethical AI practices, and real-world applications, students learn to create AI solutions across manufacturing, healthcare, finance, and other industries. The program emphasizes accessibility, offering pathways for both technical and non-technical professionals to transition into AI-focused roles.
Qualifications
Minimum qualifications:
  • Terminal degree (Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or an aligned discipline
  • Demonstrated professional experience implementing AI/ML solutions in industry settings
  • Proficiency in Python and modern AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, or similar)

Strongly preferred:
  • 5+ years of professional experience in AI/ML development, implementation, or strategy roles
  • Demonstration of teaching, coaching, and/or training experience with a history of successful teaching (online/on-ground) at the graduate level strongly preferred
  • Experience teaching adult learners or working professionals
  • Expertise in one or more specialized areas: natural language processing, computer vision, generative AI, deep learning, conversational AI, reinforcement learning, or AI applications in specific domains (cybersecurity, 3D imaging, autonomous systems)
  • Understanding of AI ethics, governance, and responsible AI practices
  • Ability to make complex AI concepts accessible to learners from diverse academic backgrounds

Application Materials
Applicants should submit materials including a cover letter and vitae.
Successful faculty at Northeastern will be dynamic and innovative scholars with a record of teaching excellence and a commitment to fostering belonging in the university community. Thus, strong candidates for this faculty position will have the expertise, knowledge, and skills to build their pedagogy, and curriculum in ways that reflect and enhance this commitment. Please indicate how your expertise, knowledge, and skills have prepared you to contribute to this work in your cover letter.
Please direct questions to John Wilder at j.wilder@northeastern.edu.
Applications will be reviewed until the position is filled.
Position Type
Academic
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Pay Range:
The per credit rate is $1,569.00.

Apply