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Remote Computer Science Teaching Assistant Jobs in California

Tilda Research

You have good understanding of foundational computer science concepts like design patterns, data ... We are a remote team, and your ability to write your thoughts out is critical. * You care about the ...

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Bachelor's degree or higher in Mathematics, Statistics, Physics, Computer Science, or equivalent

American Straight A Academy

Latin Instructor

Irvine, CA · On-site +1

$35/hr

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 ...

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Remote Computer Science Teaching Assistant information

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

To thrive as a Remote Computer Science Teaching Assistant, you need a solid grasp of core computer science concepts, programming languages (such as Python or Java), and at least a bachelor’s degree or relevant coursework. Familiarity with learning management systems (LMS) like Canvas or Blackboard, video conferencing tools, and code-sharing platforms is typically required. Excellent communication, patience, and the ability to motivate and support students remotely are standout soft skills in this role. These skills and qualities are crucial for effectively facilitating learning, resolving technical challenges, and ensuring student engagement in a virtual environment.

What does a Remote Computer Science Teaching Assistant do?

A Remote Computer Science Teaching Assistant supports instructors and students in online computer science courses. They help answer student questions, grade assignments, provide feedback, and sometimes lead virtual discussions or study sessions. Their main goal is to facilitate learning and ensure students understand course material, all while working from a remote location. They use digital platforms and communication tools to interact with both students and faculty.

How does a Remote Computer Science Teaching Assistant typically collaborate with instructors and students in an online setting?

As a Remote Computer Science Teaching Assistant, collaboration with instructors usually happens through regular virtual meetings, shared digital platforms, and coordinated lesson planning tools. TAs often communicate with students via discussion boards, video calls, and messaging platforms to provide support, clarify concepts, and assist with assignments. Building rapport remotely can be a challenge, but using clear communication and prompt feedback helps foster a positive online learning environment. Additionally, TAs may help facilitate group projects, grade assignments, and manage online resources to ensure students have a seamless educational experience.
What are the most commonly searched types of Remote Computer Science Teaching jobs in California? The most popular types of Remote Computer Science Teaching jobs in California are:
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What cities in California are hiring for Remote Computer Science Teaching Assistant jobs? Cities in California with the most Remote Computer Science Teaching Assistant job openings:
Remote Computer Science Teaching Assistant jobs near you

Science and Conservation Associate

Laguna Ocean Foundation

Laguna Beach, CA • Remote

Part-time

Posted 8 days ago

Job description

Science and Conservation Associate

Location: Laguna Beach, California
Organization: Laguna Ocean Foundation (LOF)
Status: Part-time (Contingent upon funding)

About Laguna Ocean Foundation

The Laguna Ocean Foundation (LOF) is a nonprofit dedicated to protecting and restoring Laguna Beach’s coastal ecosystems through science, education, conservation, and community engagement. Working with universities, government agencies, and community partners, LOF is advancing innovative coastal monitoring by integrating field ecology with drones, GIS, machine learning, environmental DNA (eDNA), and citizen science.

Position Summary

LOF seeks a motivated Science and Conservation Associate to support the technical foundation of its research and conservation programs. This position transforms field observations into high-quality geospatial data that inform ecological monitoring, restoration, conservation planning, and public education across Laguna Beach’s Marine Protected Areas.

The Associate will manage geospatial workflows—from drone and underwater ROV surveys through machine-learning analysis, GIS integration, habitat mapping, and scientific visualization. Working closely with LOF biologists, university researchers, GIS specialists, and interns, the Associate will help build one of California’s most comprehensive long-term coastal spatial datasets while supporting scientific publications, grant-funded research, StoryMaps, and emerging conservation technologies.

Position contingent upon funding.

Primary Responsibilities

Remote Sensing & Field Operations

● Conduct drone surveys under FAA Part 107 regulations.

● Operate underwater ROVs to document marine habitats.

● Coordinate field logistics, equipment, permits, and data collection.

GIS & Spatial Analysis

● Process drone imagery into ortho-mosaics and elevation models.

● Maintain GIS databases and produce habitat, species, and change-detection maps.

● Integrate remote sensing with biological field data.

Artificial Intelligence & Data Science

● Develop and apply machine-learning models for habitat and species classification.

● Improve classification workflows and support Python-based geospatial automation.

Research & Communication

● Collaborate with scientists and partner institutions on applied conservation research.

● Assist with scientific publications, technical reports, grant proposals, and conference presentations.

● Develop Story-Maps, dashboards, and visual products that communicate science to diverse audiences.

Training & Program Support

● Mentor interns and volunteers in GIS, drone operations, and data collection.

● Help establish standardized monitoring and data management protocols.

Required Qualifications

● Bachelor’s degree in GIS, Geography, Environmental Science, Marine Science, Engineering, Computer Science, Data Science, Ecology, or related field (or equivalent experience).

● At least one year of experience in remote sensing, GIS, spatial analysis, or environmental monitoring.

● Proficiency with ArcGIS Pro and/or QGIS.

● Experience with Python for geospatial analysis or machine learning.

● Experience processing drone imagery using photogrammetry.

● Familiarity with image classification or computer vision workflows.

● Knowledge of geospatial data management and reproducible workflows.

● FAA Part 107 certification (or ability to obtain).

● Excellent organizational, communication, and technical writing skills.

Preferred Qualifications

● Experience in coastal or marine ecosystems.

● Underwater ROV experience.

● Familiarity with eDNA, ecological monitoring, or conservation research.

● Experience working with universities, government agencies, or nonprofits.

● Grant writing or peer-reviewed publication experience.

● Experience with ArcGIS Online, StoryMaps, Dashboards, or web GIS.

● Knowledge of TensorFlow, PyTorch, Detectron2, or similar frameworks.

● Experience with cloud-based geospatial workflows.

Please send your resume and cover letter to: Please send in your material by July 31 to info@lagunaoceanfoundation.org

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