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Part Time Intelligence Jobs in Virginia (NOW HIRING)

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Part Time Intelligence information

What are some common challenges faced by professionals working in part-time intelligence roles?

Professionals in part-time intelligence roles often face challenges related to time management and information continuity, as intelligence work frequently requires staying updated on rapidly changing developments. Balancing multiple responsibilities, such as synthesizing data and producing actionable insights within limited hours, can also be demanding. Additionally, collaborating with full-time team members and ensuring seamless communication across shifts is crucial to maintaining operational effectiveness. Despite these challenges, part-time roles can offer valuable exposure to intelligence processes and opportunities for career advancement within the field.

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

To thrive as a Part-Time Intelligence Analyst, you generally need strong analytical skills, attention to detail, and a background in intelligence, security studies, or a related field. Familiarity with intelligence analysis tools, databases, and sometimes clearance for classified information are typically required. Excellent critical thinking, discretion, and written communication skills help analysts synthesize information and deliver actionable insights. These competencies ensure accurate assessments, efficient information handling, and effective decision-making in support of organizational objectives.

What are part time intelligence jobs?

Part time intelligence jobs involve working in roles that support the collection, analysis, and interpretation of information relevant to national security, law enforcement, or private sector needs, but on a part-time basis. These positions may include data analysts, research assistants, or support staff who help gather and process intelligence material. Part time roles are ideal for students, retirees, or professionals seeking flexible hours while contributing to important strategic work. Duties often involve research, report writing, data management, and sometimes language translation. Security clearances may be required depending on the specific agency or organization.
What are the most commonly searched types of Intelligence jobs in Virginia? The most popular types of Intelligence jobs in Virginia are:
What cities in Virginia are hiring for Part Time Intelligence jobs? Cities in Virginia with the most Part Time Intelligence job openings:
Infographic showing various Part Time Intelligence job openings in Virginia as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.
Part-Time Lecturer - Applied Machine Intelligence (Arlington)

Part-Time Lecturer - Applied Machine Intelligence (Arlington)

NorthEastern

Arlington, VA

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 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.