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Online Lecturer Computer Science Jobs in Reston, VA

Computer Scientist

Washington, DC · On-site

$99K - $225K/yr

Your deep data science expertise coupled with an original approach to your work will help clients ... We'll keep you sharp and moving forward in your career with access to online courses and ...

Your deep data science expertise coupled with an original approach to your work will help clients ... We'll keep you sharp and moving forward in your career with access to online courses and ...

Computer Scientist

Mclean, VA · On-site

$99K - $225K/yr

Your deep data science expertise coupled with an original approach to your work will help clients ... We'll keep you sharp and moving forward in your career with access to online courses and ...

Computer Scientist

Mclean, VA · On-site

$99K - $225K/yr

Your deep data science expertise coupled with an original approach to your work will help clients ... We'll keep you sharp and moving forward in your career with access to online courses and ...

... and Science Communication, Media and Digital Communication, Political Communication and Public ... Net Online Search Firm Managed Recruitment There are some positions that are not advertised on this ...

What We Look For In a Computer Programming Tutor * Advanced Subject Mastery: Deep knowledge of ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Showing results 41-60

Online Lecturer Computer Science information

See Reston, VA salary details

$28.1K

$65.2K

$94.2K

How much do online lecturer computer science jobs pay per year?

As of Aug 17, 2026, the average yearly pay for online lecturer computer science in Reston, VA is $65,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,100.00 and $76,500.00 per year, depending on experience, location, and employer.

How do online lecturers in computer science typically engage and support students in a virtual learning environment?

Online Lecturers in Computer Science often use a combination of live video lectures, discussion forums, interactive coding exercises, and virtual office hours to engage students. They regularly provide feedback on assignments, facilitate group projects using collaboration tools, and adapt materials to suit diverse learning styles. Building a strong online presence and being responsive to student questions are crucial for fostering an inclusive and supportive learning environment. Leveraging technology effectively helps maintain student interest and ensures that learning objectives are met despite the lack of in-person interaction.

What is an online lecturer computer science?

An Online Lecturer in Computer Science is a professional who teaches computer science courses through virtual platforms, rather than in a traditional classroom setting. They design curricula, deliver lectures, facilitate discussions, and assess student performance using online tools and resources. Online lecturers may also provide guidance and support to students, adapting their teaching methods to suit the digital environment. This role often requires expertise in computer science as well as proficiency with educational technologies.

What is the difference between Online Lecturer Computer Science vs Online Instructor Computer Science?

AspectOnline Lecturer Computer ScienceOnline Instructor Computer Science
CredentialsTypically requires a master's or Ph.D. in computer science or related fieldUsually requires a bachelor's degree; advanced degrees preferred
Work EnvironmentAcademic institutions, universities, online collegesOnline platforms, educational companies, training programs
Employer & IndustryHigher education, universities, collegesEdTech companies, online course providers, corporate training
Common Search & ComparisonYesYes

Online Lecturer Computer Science and Online Instructor Computer Science both involve teaching computer science topics online. Lecturers often work within academic institutions, focusing on delivering lectures, research, and academic responsibilities. Instructors may work for online education platforms or companies, focusing on delivering courses and training. The main differences lie in credentials, work environment, and employer type, but both roles aim to educate students in computer science through online formats.

What are the key skills and qualifications needed to thrive as an online lecturer computer science, and why are they important?

To thrive as an Online Lecturer in Computer Science, you need a strong background in computer science fundamentals, advanced knowledge in specialized topics, and typically a master's or doctoral degree in the field. Familiarity with online learning management systems (e.g., Canvas, Blackboard), video conferencing tools, and coding platforms is essential. Excellent communication, digital engagement, and time management skills help facilitate effective virtual instruction and student interaction. These competencies ensure high-quality, accessible learning experiences and foster student success in an online environment.

What are popular job titles related to Online Lecturer Computer Science jobs in Reston, VA?

For Online Lecturer Computer Science jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Online Lecturer Computer Science jobs in Reston, VA look for?

The top searched job categories for Online Lecturer Computer Science jobs in Reston, VA are:

What cities near Reston, VA are hiring for Online Lecturer Computer Science jobs?

Cities near Reston, VA with the most Online Lecturer Computer Science job openings:

Infographic showing various Online Lecturer Computer Science job openings in Reston, VA as of June 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $65,174 per year, or $31.3 per hour.

Part-Time Lecturer - Applied Machine Intelligence (Arlington)

NorthEastern

Arlington, VA

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 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.