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Remote Computer Science Teaching Assistant 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.

Think Academy US

PreK Teacher

San Jose, CA · Remote

$35/hr

Remote Intended Start Date: Training and Lesson Preparation will begin ASAP. Classes are set to ... Participating in paid teaching assistant work by attending classes and learning from experience ...

Think Academy US

PreK Teacher

San Jose, CA · Remote

$35/hr

Remote Intended Start Date: Training and Lesson Preparation will begin ASAP. Classes are set to ... Participating in paid teaching assistant work by attending classes and learning from experience ...

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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:
What are popular job titles related to Remote Computer Science Teaching Assistant jobs in California? For Remote Computer Science Teaching Assistant jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Teaching Assistant jobs in California look for? The top searched job categories for Remote Computer Science Teaching Assistant jobs in California are:
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

Copy of PhD Computer Science Expert for AI Training

Lifted, an Upwork Company™

California City, CA • Remote

$150/hr

Contractor

This job post has expired today. Applications are no longer accepted.

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