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Remote Computer Science Research Assistant Jobs in California

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

... data science, and computer science to help us develop a software framework for designing and ... materials research is done in the future * work with top-tier human capital in research ...

Computer Vision Engineer

San Francisco, CA · On-site +1

$141K - $184K/yr

We are a team of more than 175 people working in a hybrid-remote environment across North America ... What you'll do * Assist in developing computer vision models for: * Wildfire smoke detection

Research Engineer

San Francisco, CA · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

... research environment. Key Responsibilities * Design, develop, and maintain scalable cloud ... Bachelor's degree in Computer Science, Data Engineering, Bioinformatics, or a related technical ...

Research Engineer

San Francisco, CA · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

PhD degree in Computer Science or related field * A track record of coming up with new ideas or ... Opportunity to utilize research vision to innovate the entire company and make real-world impact

Showing results 41-60

Remote Computer Science Research Assistant information

What is a remote computer science research assistant?

A Remote Computer Science Research Assistant is someone who supports computer science research projects from a remote location, typically via the internet. Their duties often include conducting literature reviews, collecting and analyzing data, developing code or algorithms, and assisting with the preparation of academic papers or presentations. This role requires strong technical skills, good communication, and the ability to work independently while collaborating with a research team online. Remote assistants may work for universities, research institutes, or private companies on topics such as artificial intelligence, cybersecurity, or software engineering.

What are the key skills and qualifications needed to thrive as a remote computer science research assistant?

To thrive as a Remote Computer Science Research Assistant, you need a solid background in computer science fundamentals, programming, and research methodology, often supported by progress toward or completion of a relevant degree. Familiarity with data analysis tools, programming languages like Python or Java, version control systems such as Git, and literature databases is typically required. Strong written communication, self-motivation, and time management skills help you excel when collaborating remotely and handling independent research tasks. These abilities are crucial for efficiently contributing to research projects, meeting deadlines, and maintaining productive collaboration from a remote environment.

How do remote computer science research assistants typically collaborate with research teams when working from different locations?

Remote Computer Science Research Assistants generally use a mix of collaboration tools such as video conferencing, shared code repositories, and project management platforms to stay connected with their teams. Regular virtual meetings help align research goals, discuss progress, and resolve technical issues. Clear written communication is especially important in this setting, as documentation and asynchronous updates help ensure everyone is on the same page. Team members often share tasks such as data analysis, literature reviews, and experimental design, making collaboration a key part of daily responsibilities.

What is the difference between Remote Computer Science Research Assistant vs Remote Data Analyst?

AspectRemote Computer Science Research AssistantRemote Data Analyst
Required CredentialsBachelor's or higher in Computer Science or related field; research experienceBachelor's or higher in Data Science, Statistics, or related field; analytical skills
Work EnvironmentAcademic or research institutions, labs, universitiesBusiness, finance, healthcare, or tech companies
Employer & Industry UsageUniversities, research centers, tech labsCorporations, consulting firms, data-driven industries
Common Search & ComparisonYesNo

The Remote Computer Science Research Assistant typically focuses on supporting academic or research projects in computer science, often involving experimental or theoretical work. In contrast, a Remote Data Analyst primarily analyzes data to inform business decisions. While both roles require strong analytical skills and related credentials, their work environments and industry applications differ significantly.

What are popular job titles related to Remote Computer Science Research Assistant jobs in California?

For Remote Computer Science Research Assistant jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Computer Science Research Assistant jobs in California look for?

The top searched job categories for Remote Computer Science Research Assistant jobs in California are:

What cities in California are hiring for Remote Computer Science Research Assistant jobs?

Cities in California with the most Remote Computer Science Research Assistant job openings:

Infographic showing various Remote Computer Science Research Assistant job openings in California as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% Remote job distribution.

Research Intern on Generative and Protective AI for Content Creation

Sony

On-site, Remote

$50/hr

Internship

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony's other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more:

Position Summary

Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide.

Responsibilities

As a research intern, you will investigate and apply novel algorithms related to:

  • The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
  • The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.

Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts.

Required Qualifications

  • Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
  • Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
  • Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
  • Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
  • Excellent communication and presentation skills.

Preferred Qualifications

  • Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.

Working Location

Location flexible (Tokyo, NYC, remote)

The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime .

LI-AS1

All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.

Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.

We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.

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