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Remote Teen Computer Science Jobs (NOW HIRING)

Upswing

Online Computer Science Tutor

Durham, NC · On-site +1

$14 - $16/hr

This is a remote position that allows tutors to work at nearly any location with reliable access to ... computer science * Have access to reliable, high-speed Internet, a quiet, distraction-free ...

Upswing

Online Computer Science Tutor

Durham, NC · Remote

$14 - $16/hr

This is a remote position that allows tutors to work at nearly any location with reliable access to ... computer science * Have access to reliable, high-speed Internet, a quiet, distraction-free ...

Booz Allen Hamilton, Inc.

Computer Scientist, Mid

Aurora, CO · On-site +1

$69K - $158K/yr

Remote Work: No Job Number: R0246464 Location: Aurora,CO,US Share job via: Share Computer Scientist, Mid The Opportunity: As an analytics professional, you're excited at the prospect of unlocking the ...

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Remote Teen Computer Science information

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$98K

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

As of Sep 14, 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 is a remote teen computer science job?

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 skills and qualifications are needed to thrive as a remote teen computer science instructor?

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 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 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.

Can I work remotely with a computer science degree?

Yes, a computer science degree can qualify you for remote work opportunities in software development, programming, data analysis, and other tech roles. Many companies offer remote positions that require skills in coding languages, problem-solving, and familiarity with collaboration tools like Git and Slack.

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:

What other helpful pages are available for Remote Teen Computer Science?

Other pages related to Remote Teen Computer Science:

Remote Teen Computer Science jobs near you
Infographic showing various Remote Teen Computer Science job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 72% Physical, 1% Hybrid, and 27% Remote job distribution, with an average salary of $83,109 per year, or $40 per hour.

Applied Computer Science Benchmark Specialist

Remote

Weekday AI
Human Resources Consulting Services • 11 - 50 employees
Learn more about Weekday AIexternal

$66 - $84/hr

Contractor

Posted 28 days ago

Job description

This role is for one of our clients
Compensation: $66 - $84 per hour
We are seeking experienced computer science professionals to author and review high-quality academic assessment content for an AI research initiative. In this role, you will develop and validate rigorous multiple-choice questions across a broad range of computer science domains, assess solution quality, and help establish gold-standard benchmarks for evaluating advanced AI systems.
You will contribute through one of two primary task types:
Question Authoring - Develop original, challenging multiple-choice questions within your area of computer science expertise, assess their difficulty, and submit them for review.
Question Verification - Review existing questions for technical accuracy, clarity, completeness, and rigor. Make necessary edits, assess difficulty, and document the rationale behind your changes.
Requirements
Computer Science Domains
  • Accelerator / GPU Kernel Engineering
  • Formal Methods & Automated Reasoning
  • Computer Architecture & Accelerators
  • Distributed Systems
  • DevOps & Site Reliability Engineering
  • Data Engineering & Databases
  • Cloud Computing & Infrastructure
  • Operating Systems & Systems Kernel
  • Machine Learning Engineering
  • Web & API Development
  • Embedded Systems Engineering
  • Computer Graphics & Game Development
  • Mobile Engineering
Key Responsibilities
  • Create original computer science questions that evaluate deep conceptual understanding, technical reasoning, and problem-solving rather than surface-level recall.
  • Ensure every question is unambiguous, self-contained, technically accurate, and sufficiently specified for a qualified expert to solve.
  • Classify questions by difficulty:
    • Medium: Introductory undergraduate level
    • Hard: Advanced undergraduate level
    • Expert: Postgraduate level and above
  • Provide one correct answer alongside nine plausible but subtly incorrect alternatives designed to distinguish strong technical reasoning from superficial knowledge.
  • Develop clear, structured solution explanations that demonstrate the reasoning and technical principles required to reach the correct answer.
  • Provide 1-5 authoritative references per question, drawing from peer-reviewed research, academic publications, university resources, and other reputable technical sources.
  • For verification assignments, identify issues related to correctness, clarity, completeness, precision, or solvability and clearly explain the reasoning behind any recommended edits.
  • Apply consistent standards when evaluating questions and solutions to ensure benchmark quality and reproducibility.
Ideal Qualifications
  • PhD or doctoral candidacy in Computer Science, Electrical Engineering, Computer Engineering, or a closely related discipline.
  • A Master's degree may be considered for candidates with exceptional expertise in a specialized computer science domain.
  • Strong command of graduate-level computer science theory, algorithms, systems, software engineering, architecture, and/or machine learning.
  • Demonstrated depth in one or more of the listed technical domains.
  • Research publications, substantial industry experience at leading technology organizations, systems engineering experience, or competitive programming experience is a strong plus.
  • Excellent written English and the ability to communicate complex technical concepts clearly, accurately, and concisely.
  • Strong attention to detail and the ability to distinguish technically valid solutions from plausible but incorrect approaches.
More About the Opportunity
  • Expected commitment: 10+ hours per week
  • Fully remote and asynchronous
  • Flexible scheduling based on project requirements
  • Opportunity to contribute to the development of high-quality benchmarks for evaluating advanced AI systems
  • Strong contributors may be considered for additional review, evaluation, or subject-matter expert opportunities
Application Process
Submit your resume or a summary of your relevant academic and professional background.
Selected candidates may be asked to complete a short technical assessment or provide additional information about their area of expertise.
Equal Opportunity
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations throughout the application and engagement process.
Contract and Payment Terms
  • Engagement will be on an independent contractor basis.
  • This is a fully remote opportunity that can be completed on your own schedule.
  • Projects may be extended, shortened, or concluded early depending on project requirements and performance.
  • Work will not require access to confidential or proprietary information belonging to any current or former employer, client, or institution.
  • Payments are made weekly through Stripe or Wise, based on services rendered.
  • H-1B and STEM OPT candidates are not eligible for this opportunity at this time.

Apply