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Remote Computer Science Teaching Jobs in California

Learner Education

Online Science Tutor

Fresno, CA · Remote

$25/hr

Remote Hours: Set Your Own Schedule Pay: $25.00/hr About Learner Education Learner Education is on ... Applicants must have direct, professional teaching or tutoring experience with students.

Envista

Principal Scientist

Pomona, CA · Remote

$156K/yr

Full‑time. Computer Science PhD - Mercor (Remote) Project: Premier AI labs, subject‑matter expertise. Job Type: Full‑time remote. Physics Researcher - AI Systems (Remote) Project:

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$64.6K

$119.9K

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

As of Jul 14, 2026, the average yearly pay for remote computer science teaching in California is $64,613.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,800.00 and $68,600.00 per year, depending on experience, location, and employer.

How to make an extra $1000 a month as a teacher?

Remote computer science teachers can earn an extra $1000 a month by offering private tutoring, creating online courses, or freelance programming projects. Building a strong online presence, developing specialized skills, and using platforms like Udemy or Tutor.com can help increase income streams efficiently.

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.

Can I be a teacher with a computer science degree?

Yes, a computer science degree can qualify you to become a computer science teacher, especially if you have strong programming skills and knowledge of algorithms and data structures. Additional certifications or teaching credentials may be required depending on the educational level and region. Remote teaching roles often require familiarity with online teaching tools and platforms.

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.

How can I make $100,000 a year working from home?

Remote computer science teaching roles can offer salaries approaching or exceeding $100,000 annually, especially with advanced degrees, specialized skills, and experience. To achieve this, focus on high-demand subjects, develop strong online teaching skills, and obtain relevant certifications or advanced degrees to increase earning potential. Building a reputation through consistent quality and expanding your client base can also help reach higher income levels.

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.

How can I make 2000 a week working from home?

Remote computer science teaching can generate $2000 or more weekly by offering private lessons, creating online courses, or tutoring students through platforms that pay per session or project. Success depends on expertise, certifications, and building a strong online presence, often requiring flexible scheduling and effective communication skills.
What are the most commonly searched types of Computer Science Teaching jobs in California? The most popular types of Computer Science Teaching jobs in California are:
What are popular job titles related to Remote Computer Science Teaching jobs in California? For Remote Computer Science Teaching jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Teaching jobs in California look for? The top searched job categories for Remote Computer Science Teaching jobs in California are:
What cities in California are hiring for Remote Computer Science Teaching jobs? Cities in California with the most Remote Computer Science Teaching job openings:
Remote Computer Science Teaching jobs near you
Infographic showing various Remote Computer Science Teaching job openings in California as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $64,613 per year, or $31.1 per hour.

Copy of PhD Computer Science Expert for AI Training

Lifted, an Upwork Company™

California City, CA • Remote

$150/hr

Contractor

Posted 17 days ago

Job description

Company Description

An enterprise client is seeking highly technical Computer Science Experts with PhDs to support the training and evaluation of advanced AI models. This initiative focuses on improving the accuracy, reasoning, and domain expertise of generative AI systems through expert human feedback.

The selected candidates will contribute to the company's large AI training project by evaluating AI-generated responses, developing domain-specific prompts, and assessing technical accuracy across complex Computer Science topics. This is a fully remote, freelance opportunity with flexible working hours and the potential for ongoing work beyond the initial project timeline.

    Job Description

    This opportunity is ideal for highly analytical professionals with advanced academic or industry experience in Computer Science or related technical fields.

    What You'll Do:

    • Assess the factual accuracy, relevance, and quality of AI-generated Computer Science content
    • Craft and answer domain-specific questions related to Computer Science and adjacent technical disciplines
    • Evaluate and rank AI-generated responses based on technical correctness and reasoning quality
    • Provide expert-level feedback to improve AI model performance and domain understanding
    • Support AI training initiatives by applying research, analytical thinking, and technical expertise

    This role is a strong fit for professionals with backgrounds in:

    • Computer Science
    • Software Engineering
    • Machine Learning
    • Cybersecurity
    • Distributed Systems
    • Computational Science
    • Information Theory
    • Quantitative Finance (highly preferred)
    • Statistics
    • Electrical & Computer Engineering
    • Technical Research or Academia
    Qualifications

    Requirements:

    • Native or fluent English communication skills (written and verbal)
    • PhD in Computer Science or a closely related technical field
    • Experience working as a software engineer, researcher, or in another highly technical or analytical role
    • Strong technical reasoning and attention to detail
    • Ability to assess complex AI-generated technical outputs with accuracy and consistency

    Nice to Haves:

    • Strong academic or industry research background
    • Experience reviewing technical content, publications, or research outputs
    • Familiarity with AI systems, large language models, or AI evaluation workflows
    • Experience in advanced Computer Science domains such as machine learning, distributed systems, or cybersecurity
    Additional Information
    • Fully remote freelance opportunity with flexible working hours
    • Work is expected to begin immediately and continue through the end of June, with potential extensions
    • Compensation: Up to $150 USD per hour based on project participation
    • Weekly lump-sum payments issued for completed work tracked within the client platform
    • No guaranteed hours or task volume; work availability may vary weekly
    • Candidates must be physically located in one of the following regions: United States, Canada, Puerto Rico, Mexico, Great Britain, Australia, New Zealand, or Argentina
    • Selected candidates will receive onboarding instructions and platform access after acceptance
    • Candidates should not independently create an Outlier profile prior to onboarding

    Apply