2

Remote Computer Science Research Jobs in California

$120K - $190K/yr

PhD or several years research experience in computer science, artificial intelligence, machine ... Both remote and in-person (Berkeley, CA or Singapore) are possible. We sponsor visas for in-person ...

Research Scientist, AI

Redwood City, CA · On-site +1

$214K - $375K/yr

PhD in computer science or a related field, or equivalent experience * Significant experience building and scaling deep learning systems, ideally in research-driven environments * Strong engineering ...

$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 ...

Showing results 21-40

Remote Computer Science Research information

What is remote computer science research?

Remote computer science research involves conducting studies, experiments, or theoretical work in computer science from a location outside of a traditional lab or office setting, typically from home or any place with internet access. Researchers use online collaboration tools, cloud computing resources, and virtual meetings to communicate with team members, access data, and share results. This setup allows for greater flexibility and can broaden participation in research projects across different geographic locations. The work may include areas such as artificial intelligence, cybersecurity, software engineering, or data science, and often requires strong self-motivation and excellent communication skills.

How do remote computer science researchers typically collaborate with teams and manage project progress?

Remote computer science researchers often collaborate using digital communication platforms such as Slack, Zoom, and collaborative coding tools like GitHub. Regular virtual meetings, shared documentation, and version control systems are essential for synchronizing efforts and tracking project milestones. While working remotely can offer flexibility, it also requires strong self-management and proactive communication to ensure research goals are met and team members stay aligned. Building rapport and maintaining open channels for feedback help address challenges and foster a productive, supportive research environment.

What are the key skills and qualifications needed to thrive as a remote computer science researcher, and why are they important?

To excel as a Remote Computer Science Researcher, you need advanced knowledge in algorithms, data structures, and research methodologies, often supported by a master's or doctoral degree in computer science or a related field. Familiarity with programming languages (such as Python or C++), version control systems, and collaborative research platforms is typically required. Strong analytical thinking, self-motivation, and effective written communication are vital soft skills for independent work and sharing findings with the research community. These abilities are crucial for producing impactful research, collaborating remotely, and advancing knowledge in the field.

What is the difference between Remote Computer Science Research vs Remote Software Developer?

AspectRemote Computer Science ResearchRemote Software Developer
Required CredentialsAdvanced degrees (Master's/PhD), research experienceBachelor's or higher in CS, coding skills
Work EnvironmentAcademic or research institutions, labsTech companies, startups, freelance projects
Employer & Industry UsageUniversities, research labs, government agenciesSoftware firms, tech industry, consulting
Common Search & Comparison IntentResearch focus, academic rolesDevelopment projects, coding jobs

Remote Computer Science Research typically involves academic or research roles requiring advanced degrees and a focus on theoretical or experimental work. Remote Software Developers focus on building and maintaining software applications, often with coding skills and industry experience. While both roles involve computer science, their work environments, credentials, and industry applications differ significantly.

What are the most commonly searched types of Computer Science Research jobs in California?

The most popular types of Computer Science Research jobs in California are:

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

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

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

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

Research Scientist

On-site, Remote

$120K - $190K/yr

Full-time

Medical, Retirement, PTO

Re-posted 19 days ago


Job description

About Us
FAR.AI is a non-profit AI research institute working to ensure advanced AI is safe and beneficial for everyone. Our mission is to facilitate breakthrough AI safety research, advance global understanding of AI risks and solutions, and foster a coordinated global response.
Since our founding in July 2022, we've grown to 40+ staff, published 40+ academic papers, and convened leading AI safety events. Our work is recognized globally, with publications at premier venues such as NeurIPS, ICML, and ICLR, and features in the Financial Times, Nature News and MIT Technology Review. We conduct pre-deployment testing on behalf of frontier developers such as OpenAI and independent evaluations for governments including the EU AI Office. We help steer and grow the AI safety field through developing research roadmaps with renowned researchers such as Yoshua Bengio; running FAR.Labs, an AI safety-focused co-working space in Berkeley housing 40 members; and supporting the community through targeted grants to technical researchers.
About FAR.Research
We explore promising research directions in AI safety and scale up only those showing a high potential for impact. Once the core research problems are solved, we work to scale them to a minimum viable prototype, demonstrating their validity to AI companies and governments to drive adoption.
We are aiming to rapidly grow our team in the following areas especially, at varying levels of seniority:
  • Evals and red-teaming: Conducting pre- and post-release adversarial evaluations of frontier models (e.g. Claude 4 Opus, ChatGPT Agent, GPT-5); developing novel attacks to support this work; and exploring new threat models (e.g. persuasion, tampering risks).
  • Infrastructure: Maintaining GPU compute infrastructure to support experiments with open-weight models and developing new tooling to allow our research teams to scale their fine-tuning and post-training workflows to frontier open-weight models.

We are also seeking more senior candidates in the following research areas:
  • Mitigating AI deception: Studying when lie detectors induce honesty or evasion, and developing model organisms for deception and sandbagging
  • Adversarial Robustness: Working to rigorously solve these security problems through building a science of security and robustness for AI, from demonstrating superhuman systems can be vulnerable, to scaling laws for robustness and jailbreaking constitutional classifiers
  • Mechanistic Interpretability: Finding issues with Sparse Autoencoders, probing deception using AmongUs, understanding learned planning in SokoBan and interpretable data attribution.

FAR.AI is one of the largest independent AI safety research institutes, and is rapidly growing with the goal of diversifying and deepening our research portfolio. We would welcome the opportunity to add new research directions if you are a senior researcher with a strong vision and would like to pitch us on it.
About the Role
We organize our team as Members of Technical Staff, with significant overlap between scientist and engineer roles. As a scientist, you will take ownership of and accelerate existing AI alignment research agendas. You can publish research findings broadly and engage with the AI alignment community. If you are an experienced research scientist, then we would be excited to incubate your agenda at FAR using our existing infrastructure and world-class team.
You will receive engineering mentorship via code review, pair programming and regular 1-to-1s. Alongside the engineers, you will be involved in develop scalable implementations of machine learning algorithms and using them to run scientific experiments,
You are encouraged to develop your research taste, proposing novel directions and joining a research pod which suits your interests. You are welcome to take time to study and to attend conferences free of charge. Our technical team is organized into research pods to enable continuity of organizational structure whilst each pod can pivot through varied research projects.
Beyond FAR.AI, you can work with national AI safety institutes, frontier model developers and top academics.
About You
We are excited by unconventional backgrounds. You may have the following:
  • New and under-explored AI alignment idea(s).
  • Experience leading and/or playing a senior role in research projects related to machine learning.
  • Ability to effectively communicate novel methods and solutions to both technical and non-technical audiences.
  • PhD or several years research experience in computer science, artificial intelligence, machine learning or statistics.

Benefits*
  • Health Insurance - 94% of Insurance premium paid by Organization commencing within 1 month after your start date
  • Retirement - 401(k) plan with up to 2% match
  • PTO - 25 days Paid Time Off per year, accrued weekly and up to 10 days of paid sick leave per year
  • Paid Leave - Paid Bereavement, Family, Medical and Pregnancy Disability Leave
  • WFH Stipend & Equipment- Work computer and stipend provided for eligible employees
  • Catered Meals (Berkeley Office Only) - Catered lunches and dinners on workdays at our office

*(Available only to full-time employees located in the US)
Logistics
If based in the USA or Singapore, you will be an employee of FAR.AI (501(c)(3) research non-profit / non-profit CLG). Outside the USA or Singapore, you will be employed via an EOR organisation on behalf of FAR.AI or as a contractor.
  • Location: Both remote and in-person (Berkeley, CA or Singapore) are possible. We sponsor visas for in-person employees, and can hire remotely in most countries.
  • Hours: Full-time (40 hours/week).
  • Application process: A 72-minute programming assessment, two interviews with members of our technical staff, and a paid work trial lasting up to 1 week. If you are not available for a work trial we may be able to find alternative ways of testing your fit.

If you have any questions about the role, feel free to contact us at talent@far.ai. Otherwise, if you don't have questions, the best way to ensure a proper review of your skills and qualifications is by applying directly via the application form. Please don't email us to share your resume (it won't have any impact on our decision). Thank you!