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$56.5K

$83.1K

$98K

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

As of Jun 4, 2026, the average yearly pay for remote teen computer science in the United States is $83,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $93,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Teen Computer Science Instructor, and why are they important?

To thrive as a Remote Teen Computer Science Instructor, you need a solid background in computer science fundamentals and programming, often supported by a degree or relevant teaching experience. Familiarity with online learning platforms, coding environments such as Python or Java, and virtual collaboration tools is typically required. Strong communication, patience, and the ability to engage and motivate teenagers are essential soft skills for success in this teaching role. These skills ensure effective knowledge transfer, foster student engagement, and help create a positive remote learning environment for teens.

What are some common challenges faced by remote teen computer science instructors and how can they be addressed?

Remote teen computer science instructors often encounter challenges such as keeping students engaged in a virtual environment, managing diverse skill levels, and facilitating hands-on coding practice remotely. Effective strategies include using interactive tools, incorporating collaborative projects, and providing clear, structured lesson plans. Building a supportive online community and offering regular feedback also help maintain motivation and participation among young learners.

What are remote teen computer science jobs?

Remote teen computer science jobs are work opportunities in the technology field that can be performed online by teenagers, typically aged 13 to 19. These jobs may include roles like coding internships, web development, software testing, or tech support, allowing teens to gain practical experience and earn money from home. Such positions often require basic programming knowledge, strong problem-solving skills, and the ability to work independently. Remote jobs help teens build their resumes and explore potential career paths in computer science before entering college or the workforce.

What is the difference between Remote Teen Computer Science vs Remote Teen Web Development?

AspectRemote Teen Computer ScienceRemote Teen Web Development
Required SkillsProgramming fundamentals, algorithms, problem-solvingHTML, CSS, JavaScript, basic design
CertificationsNone typically required, but coding courses helpfulNone typically required, but coding bootcamps beneficial
Work EnvironmentOnline learning platforms, coding projectsWebsite projects, client work, personal portfolios
Industry UsageEducation, tech startups, software companiesDigital agencies, freelance work, startups

Remote Teen Computer Science focuses on foundational programming skills and problem-solving, suitable for various tech roles. Remote Teen Web Development emphasizes building websites and user interfaces, often involving design and front-end skills. Both roles are ideal for teens interested in tech, but they differ in technical focus and project types.

What cities are hiring for Remote Teen Computer Science jobs? Cities with the most Remote Teen Computer Science job openings:
What are the most commonly searched types of Teen Computer Science jobs? The most popular types of Teen Computer Science jobs are:
What states have the most Remote Teen Computer Science jobs? States with the most job openings for Remote Teen Computer Science jobs include:
What job categories do people searching Remote Teen Computer Science jobs look for? The top searched job categories for Remote Teen Computer Science jobs are:
Remote Teen Computer Science jobs near you
Infographic showing various Remote Teen Computer Science job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $83,109 per year, or $40 per hour.
Part-time Faculty, PhD Computer Science

Part-time Faculty, PhD Computer Science

National University

Remote

$26.63 - $28.89/hr

Part-time

Posted 7 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.

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