2

Remote Computer Science Teaching Jobs (NOW HIRING)

next page

Showing results 1-20

Remote Computer Science Teaching information

See salary details

$36.5K

$65.5K

$121.5K

How much do remote computer science teaching jobs pay per year?

As of Jun 6, 2026, the average yearly pay for remote computer science teaching in the United States is $65,470.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $69,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Computer Science Teaching position, and why are they important?

To thrive as a Remote Computer Science Teacher, you need a deep understanding of programming languages, algorithms, and pedagogy, typically supported by a degree in computer science or a related field and teaching credentials. Familiarity with online learning platforms such as Zoom, Google Classroom, and course management systems, along with certifications like CompTIA or teaching licenses, is beneficial. Exceptional communication, patience, and organizational skills help engage students and facilitate effective online instruction. These skills ensure quality virtual education, student engagement, and the ability to adapt to diverse learning needs in a remote environment.

What is a Remote Computer Science Teaching job?

A Remote Computer Science Teaching job involves instructing students in computer science topics through online platforms. Teachers may create lesson plans, deliver lectures, assign and grade coursework, and provide support to students virtually. This role can be found in schools, universities, coding bootcamps, or private tutoring. Strong communication skills, technical expertise, and proficiency with online teaching tools are essential.

What are some common challenges faced in remote computer science teaching, and how can they be addressed?

Remote computer science teaching often presents challenges such as maintaining student engagement, ensuring academic integrity, and managing varied technical skill levels. Instructors can address these by incorporating interactive lessons, using real-time coding platforms for hands-on practice, and offering frequent virtual office hours for student support. Additionally, clear communication of expectations and leveraging collaborative tools like shared documents or discussion boards can foster a supportive online classroom environment. Embracing flexibility and continuous learning about new educational technologies also greatly contributes to a positive teaching and learning experience.

More about Remote Computer Science Teaching jobs
What cities are hiring for Remote Computer Science Teaching jobs? Cities with the most Remote Computer Science Teaching job openings:
What are the most commonly searched types of Computer Science Teaching jobs? The most popular types of Computer Science Teaching jobs are:
What states have the most Remote Computer Science Teaching jobs? States with the most job openings for Remote Computer Science Teaching jobs include:
What job categories do people searching Remote Computer Science Teaching jobs look for? The top searched job categories for Remote Computer Science Teaching jobs are:
Infographic showing various Remote Computer Science Teaching job openings in the United States as of May 2026, with employment types broken down into 80% Full Time, 13% Part Time, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $65,470 per year, or $31.5 per hour.
Part-time Faculty, PhD Computer Science

Part-time Faculty, PhD Computer Science

National University System

Remote

$26.63 - $28.89/hr

Part-time

Posted 9 days ago


Job description

Compensation Range:
Hourly: $26.63 - $28.89
National University - San Diego, California
Part-time Faculty: PhD Computer Science
Location: Remote, CA
National University is a veteran-founded, San Diego-based nonprofit. Since 1971, our mission has been to provide accessible higher education to adult learners. Today, we educate a diverse student body from across the U.S. and around the globe, with more than 230,000 alumni worldwide. Our three schools and three colleges offer more than 200 accredited and licensed graduate and undergraduate programs. National University holds accreditation through the Western Senior College and Universities Commission (WSCUC).
Position Summary
The Department of Engineering, Data and Computer Sciences, in the College of Business, Engineering and Technology at the National University invites applications for part-time faculty with a specialization in Computer Science. The successful candidate will have a demonstrated record of or potential for excellence in teaching in their field and a commitment to serving the university's diverse adult student body. The successful candidate will have the potential for a commitment to serving the university's diverse adult student body. This position primarily works closely with the Academic Program Director and other faculty within the program and contributes to ensuring program quality, student engagement, and success.
Essential Job Duties:
  • Provide substantive, timely feedback to students on various assessment activities.
  • Maintain a positive, safe, inclusive student-centric learning environment.
  • Complete required tasks on deadlines (e.g., final grades, assessment, grading rubrics, input for grade appeals, etc.)
  • Maintain appropriate professional training and/or scholarly activities, when applicable.
  • Provide feedback to the course lead regarding the course content.
  • Identify at-risk students and collaborate with student services.

Qualifications:
Required:
  • Ph.D. in the field of computer science or computer engineering from a regionally accredited university required.
  • A strong background in any of the following areas required:
    • Advanced Artificial Intelligence and Machine Learning (e.g., deep learning, reinforcement learning, natural language processing, large-scale AI systems)
    • Data Systems and Data Engineering (e.g., database systems, distributed data systems, large-scale data processing, data-intensive applications)
    • Systems and Distributed Computing (e.g., operating systems, distributed systems, parallel computing, cloud and scalable systems)
    • Networking and Networked Systems (e.g., computer networks, distributed networking, modern communication systems)
    • Software Engineering and Programming Systems (e.g., programming languages, systems programming, software design and architecture)
    • Emerging areas aligned with computer science research (e.g., IoT systems, scalable platforms, trustworthy AI, quantum computing)

Preferred:
  • 3+ years of higher education teaching experience preferred.
  • Experience teaching at the doctoral level, contributing to course development, and serving on dissertation committees preferred.

For full consideration, interested candidates should provide the following.
  • A cover letter.
  • A curriculum vita.
  • Statement of teaching experience online and/or onsite for a diverse student body.

Candidate receiving offers will be offered a salary/pay rate commensurate with experience that vary based on a candidate's qualifications, skills, and competencies. Absent exceptional circumstances, candidates will be offered a salary within this range for this position. Base pay is one component of National University's total rewards package, as we are dedicated to supporting the needs of the "whole you" with our holistic approach to employee benefits by offering comprehensive well-being benefits for you and your family. For full details about our benefit plan offerings, please visit benefits.nu.edu. For part-time positions, please click here.
National University is proud to be an equal opportunity employer and does not discriminate against any employee or applicant per applicable federal, state and local laws. At NU, a mix of highly talented, innovative, and creative people come together to make the impact of a lifetime for each of our student learners. All qualified applicants will receive equal consideration for employment, education, and admission at National University.