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Remote Computer Science Teacher Jobs in California

Senior Software Engineer

San Francisco, CA · On-site +1

$144K - $190K/yr

OR Associate's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math ... We're remote-first and offer competitive pay, generous learning and growth opportunities, and ...

We are headquartered in Los Angeles, CA with both a local and remote team. We were founded and ... B.S. in Computer Science or a related field, or equivalent professional experience * Proficiency ...

Bachelor's or Master's in Data Science, Computer Science, Statistics, Mathematics, or related field ... Flexible remote work options. * Professional growth in AI/ML and advanced analytics. * Competitive ...

Bachelor's or Master's in Data Science, Computer Science, Statistics, Mathematics, or related field ... Flexible remote work options. * Professional growth in AI/ML and advanced analytics. * Competitive ...

... remote. Professional Summary: The Principal Data Scientist will drive innovation across the full ... Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. * 4 years of ...

American Straight A Academy (ASAA) Part-Time Remote High School Science Teachers Wanted Teach globally. Work flexibly. Join a fast-growing international online school delivering American high school ...

... remote. Professional Summary: The Principal Data Scientist will drive innovation across the full ... Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. * 4 years of ...

Remote BigID SME

Los Angeles, CA · Remote

$63 - $86/hr

Exciting Remote BigID SME contract opportunity. Requirements We're looking for a BigID SME ... Bachelor's degree in Computer Science, Information Security, or related field, or equivalent ...

Remote BigID SME

Los Angeles, CA · On-site +1

$63 - $86/hr

Exciting Remote BigID SME contract opportunity. Requirements We're looking for a BigID SME ... Bachelor's degree in Computer Science, Information Security, or related field, or equivalent ...

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Showing results 1-20

Remote Computer Science Teacher information

See California salary details

$36K

$64.6K

$119.9K

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

As of Jun 9, 2026, the average yearly pay for remote computer science teacher 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.

What are some common challenges faced by Remote Computer Science Teachers, and how can they be addressed?

Remote Computer Science Teachers often face challenges such as maintaining student engagement in a virtual setting, adapting teaching materials for online delivery, and addressing varying levels of students’ technical proficiency. Building interactive lessons using screen sharing, coding platforms, and real-time feedback tools helps keep students involved and ensures effective learning. Regular communication, virtual office hours, and fostering a collaborative online classroom culture can also address feelings of isolation and support students’ success. Proactively seeking professional development and sharing best practices with fellow educators can further enhance your teaching effectiveness in a remote environment.

What is a Remote Computer Science Teacher job?

A Remote Computer Science Teacher is an educator who teaches computer science concepts and programming skills to students in an online format. They design lesson plans, deliver virtual lectures, and provide support through interactive platforms. Responsibilities may include grading assignments, conducting live coding sessions, and adapting curriculum to different learning levels. This role requires strong technical knowledge, effective communication skills, and proficiency with online teaching tools.

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

To thrive as a Remote Computer Science Teacher, you need a solid understanding of computer science fundamentals, programming languages, and curriculum development, usually backed by a degree in computer science or education. Familiarity with virtual classroom platforms, learning management systems (LMS), and relevant teaching certifications is highly beneficial. Excellent communication, patience, and strong organizational skills help foster student engagement and effective learning in an online environment. These strengths are essential for delivering clear instruction, managing virtual classrooms, and ensuring students achieve their learning goals remotely.

What are the most commonly searched types of Computer Science Teacher jobs in California? The most popular types of Computer Science Teacher jobs in California are:
What are popular job titles related to Remote Computer Science Teacher jobs in California? For Remote Computer Science Teacher jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Teacher jobs in California look for? The top searched job categories for Remote Computer Science Teacher jobs in California are:
What cities in California are hiring for Remote Computer Science Teacher jobs? Cities in California with the most Remote Computer Science Teacher job openings:
Infographic showing various Remote Computer Science Teacher job openings in California as of June 2026, with employment types broken down into 33% Full Time, and 67% Part Time. Highlights an 100% Remote job distribution, with an average salary of $64,613 per year, or $31.1 per hour.
Junior Computational Biologist (Remote)

Junior Computational Biologist (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$30 - $34/hr

Full-time

Posted 26 days ago


Job description

Pay Rate Low: 30 | Pay Rate High: 34
A leading biotechnology research organization is seeking a Junior Computational Biologist to support efforts in refining how cellular states are quantified and validated!
Title: Jr. Computational Biologist (Remote Contract)
Location: Remote (Must be available during PST business hours)
Compensation: $30-34/hour + benefits
Contract Duration: 6-12+ months
Job Duties:
This project will focus on benchmarking functional scoring methodologies and improving interpretability of high-dimensional transcriptomic datasets.
The selected candidate will contribute to distinguishing true biological signal from technical variation in large-scale single-cell atlases, directly enhancing the reliability of automated cell-state classification frameworks.
Start Date: July 1, 2026
  • Duration: Through December 18, 2026
  • Commitment: Full-time (100%)
  • Ideal Candidate: Upcoming June 2026 PhD graduate or recent PhD graduate
  • Location: Onsite in South San Francisco, CA preferred; remote within the U.S. considered (must work PST hours)
  • Visa Sponsorship: Not availabl

Key Responsibilities
  • Systematically evaluate and benchmark computational approaches for quantifying phenotype activation across single-cell transcriptomic datasets.
  • Establish rigorous statistical baselines and negative-control frameworks to improve the robustness of automated cell-state classification methods.
  • Develop or refine computational methods to address limitations in current approaches.
  • Design strategies to distinguish genuine biological signatures from stochastic or technical noise.
  • Present findings in internal scientific reviews and contribute to potential conference abstracts or peer-reviewed publications.

Required Qualifications
  • Extensive hands-on experience in single-cell data analysis using Scanpy, AnnData, and Pandas.
  • Strong proficiency implementing statistical and machine learning models using scikit-learn and SciPy.
  • Demonstrated commitment to reproducible research practices and well-organized code.
  • Ability to clearly communicate complex computational concepts to interdisciplinary scientific teams.
  • Master's degree with ongoing PhD pursuit, or recent PhD graduate, in Computational Biology, Computer Science, Machine Learning, or related quantitative discipline.
  • Interest in drug discovery and comfort working in dynamic, research-driven environments.

Preferred Qualifications
  • Background knowledge in cell biology and/or immunology.
  • Experience with hypothesis testing, noise modeling, and benchmarking computational tools.
  • Familiarity with Explainable AI (XAI) approaches or large-scale biological datasets.
  • Demonstrated ability to build or extend novel bioinformatics pipelines.
    INDBH
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