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Remote Computer Science Teaching Jobs in San Jose, CA

Think Academy US

Math Teaching Assistant

San Jose, CA · Remote

$30/hr

Remote Job Type: Part-Time (20-30 hours/week) Intended Start Date : ASAP Pay : $30/hr About Think ... science and technology. At Think Academy, we provide full cycle service to foster local children ...

Mercor

AI Research Scientist - PhD

San Francisco, CA · Remote

$55 - $80/hr

Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project with ... Science , AI/ML Research , Computer Science , Game Development , or Mechanical/Aerospace ...

Mercor

ML Research Scientist - PhD

San Francisco, CA · Remote

$60 - $100/hr

Remote Role Responsibilities * Evaluate the accuracy and depth of AI-generated content to ... PhD in Machine Learning , Computer Science , AI , or a closely related field. * Published at least ...

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All JobsComputer Science Teaching JobsRemote Computer Science Teaching JobsRemote Computer Science Teaching Jobs in San Jose, CA

Remote Computer Science Teaching information

See San Jose, CA salary details

$42.8K

$76.7K

$142.4K

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

As of Aug 24, 2026, the average yearly pay for remote computer science teaching in San Jose, CA is $76,731.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,200.00 and $81,500.00 per year, depending on experience, location, and employer.

What is remote computer science teaching?

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 the key skills and qualifications needed for remote computer science teaching?

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 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.

What are the most commonly searched types of Computer Science Teaching jobs in San Jose, CA?

The most popular types of Computer Science Teaching jobs in San Jose, CA are:

What are popular job titles related to Remote Computer Science Teaching jobs in San Jose, CA?

For Remote Computer Science Teaching jobs in San Jose, CA, the most frequently searched job titles are:

What job categories do people searching Remote Computer Science Teaching jobs in San Jose, CA look for?

The top searched job categories for Remote Computer Science Teaching jobs in San Jose, CA are:

What cities near San Jose, CA are hiring for Remote Computer Science Teaching jobs?

Cities near San Jose, CA 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 San Jose, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $76,731 per year, or $36.9 per hour.

Astrophysics Researcher - Fully Remote | Upto $100/hr

Mercor

San Francisco, CA • Remote

$100/hr

Full-time

Posted 11 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Astrophysics & Cosmology Expert
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to test AI systems using real scientific software.
  • Develop problems requiring strategic planning and multi-step workflows for AI to uncover hidden data.
  • Refine problems through iterative testing against state-of-the-art AI models.
  • Utilize astropy and related tools for cosmological calculations and data analysis.
  • Work independently to enhance problem designs based on feedback.
  • Collaborate asynchronously with teams to ensure problem difficulty is optimal.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proven proficiency with scientific software libraries through research publications or professional work.
  • Strong Python skills for writing problem setups and solution validators.
  • Comfortable in a Linux/terminal environment with remote compute sandboxes.
  • Available for at least 15–20 hours per week.

Preferred

  • Experience across multiple domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.