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Part Time Cyber Security Jobs in Springfield, VA

Zero Trust Architect

Mclean, VA ยท 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 ...

Showing results 41-60

Part Time Cyber Security information

See Springfield, VA salary details

$42.5K

$129.1K

$189.1K

How much do part time cyber security jobs pay per year?

As of Aug 6, 2026, the average yearly pay for part time cyber security in Springfield, VA is $129,073.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $149,100.00 per year, depending on experience, location, and employer.

What is a part time cyber security job?

A Part Time Cyber Security job involves working limited hours while helping to protect an organization's digital assets. Responsibilities may include monitoring networks, analyzing threats, responding to incidents, and implementing security measures. These roles are ideal for students, freelancers, or professionals seeking flexible work arrangements. Part-time positions can be found in industries like finance, healthcare, and technology, and may be remote or on-site.

What are the key skills and qualifications needed to thrive in the part time cyber security position?

To thrive as a Part Time Cyber Security professional, you need a strong understanding of network security principles, risk assessment, and incident response, usually supported by formal education or industry certifications. Familiarity with tools like firewalls, intrusion detection systems, SIEM platforms, and certifications such as CompTIA Security+ or CISSP is highly valued. Strong problem-solving skills, attention to detail, and the ability to communicate complex issues clearly are key soft skills for this role. These skills are essential for protecting organizational assets, staying ahead of evolving threats, and ensuring effective team collaboration, even in a part-time capacity.

What are the typical responsibilities of a part time cyber security professional?

Part-time cyber security professionals are often tasked with monitoring network activity, conducting vulnerability assessments, managing security tools, and responding to incidents as they arise. You may also be responsible for supporting staff training, updating security protocols, and collaborating with IT or compliance teams to ensure security best practices are followed. The role typically involves balancing several ongoing projects or security reviews in a limited number of hours per week. Despite the part-time schedule, your contributions are crucial in maintaining organizational security and quickly addressing any emerging threats.

Can you work at home doing part time cyber security?

Part-time cybersecurity roles can often be performed remotely, especially for tasks like monitoring networks, analyzing security threats, and managing security tools. However, some positions may require on-site presence for tasks such as physical security assessments or hardware troubleshooting. Employers typically specify remote work options in the job description, and relevant skills include knowledge of security tools, certifications, and strong communication abilities.

Is 30 too late for part time cyber security?

Part time cybersecurity roles are accessible to individuals of various ages, including those around 30. Success in this field depends on relevant skills, certifications, and experience rather than age, and many professionals transition into cybersecurity later in their careers or pursue part-time opportunities to build expertise while working elsewhere.
What are the most commonly searched types of Cyber Security jobs in Springfield, VA? The most popular types of Cyber Security jobs in Springfield, VA are:
What are popular job titles related to Part Time Cyber Security jobs in Springfield, VA? For Part Time Cyber Security jobs in Springfield, VA, the most frequently searched job titles are:
What job categories do people searching Part Time Cyber Security jobs in Springfield, VA look for? The top searched job categories for Part Time Cyber Security jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Part Time Cyber Security jobs? Cities near Springfield, VA with the most Part Time Cyber Security job openings:
Infographic showing various Part Time Cyber Security job openings in Springfield, VA as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $129,073 per year, or $62.1 per hour.

Part-Time Lecturer - Applied Machine Intelligence (Arlington)

Northeastern University

Arlington, VA โ€ข On-site

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 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.