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Part Time Faculty information

What is a part time faculty?

Part-time faculty are instructors or professors who teach courses at a college or university on a part-time basis, rather than holding a full-time position. They are often referred to as adjuncts, lecturers, or sessional instructors. Part-time faculty typically teach one or more classes per term and may have other professional or academic commitments outside of their teaching role. Their responsibilities may include preparing and delivering lectures, grading assignments, and supporting students, but they may not have the same research, advising, or service obligations as full-time faculty.

What are the key skills and qualifications needed to thrive as a part time faculty member, and why are they important?

To thrive as a Part Time Faculty member, you typically need subject matter expertise, a relevant advanced degree (often a master's or higher), and teaching experience. Familiarity with learning management systems (e.g., Canvas, Blackboard) and classroom technology is highly valuable. Strong communication, adaptability, and time management skills help foster student engagement and balance teaching with other commitments. These competencies ensure effective instruction, positive student outcomes, and smooth integration into academic environments.

What are some common challenges faced by part time faculty, and how can they be successfully managed?

Part-time faculty often face challenges such as balancing teaching responsibilities with other professional or personal commitments, limited access to campus resources, and less involvement in departmental decision-making. To manage these challenges, effective time management and proactive communication with department heads and colleagues are crucial. Many institutions offer professional development workshops and campus resources specifically for adjunct faculty, so seeking out these opportunities can help part-time instructors stay connected and supported. Building relationships within the academic community can also enhance collaboration and professional growth.

What is the difference between Part Time Faculty vs Adjunct Instructor?

AspectPart Time FacultyAdjunct Instructor
CredentialsMaster's degree or higher, teaching experience often preferredMaster's degree or higher, relevant subject expertise
Work EnvironmentColleges and universities, classroom or online settingsColleges and universities, primarily classroom teaching
Employer & IndustryHigher education institutions, academiaHigher education institutions, academia
Search & Comparison IntentYes, often searched together for part-time teaching rolesYes, similar roles in academia

Part Time Faculty and Adjunct Instructor roles are similar, both requiring advanced degrees and teaching in higher education. The main difference is that 'Part Time Faculty' is a broader term that can include various part-time teaching positions, while 'Adjunct Instructor' specifically refers to part-time faculty members who teach courses without full-time benefits. Both roles are essential in academia, offering flexible teaching opportunities for qualified professionals.

What are the most commonly searched types of Faculty jobs in Virginia?

The most popular types of Faculty jobs in Virginia are:

What cities in Virginia are hiring for Part Time Faculty jobs?

Cities in Virginia with the most Part Time Faculty job openings:

Part Time Faculty jobs near you
Infographic showing various Part Time Faculty job openings in Virginia as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.

Part-Time Lecturer - Applied Machine Intelligence (Arlington)

Northeastern University

Arlington, VA • On-site

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 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.

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