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Computer Science Research Jobs in Berkeley, CA (NOW HIRING)

PhD degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience. * Multiple years of experience in conducting research. * Proficiency in Python and at ...

The Research Scientist will lead original research, design novel architectures, and collaborate ... Required : • PhD in Machine Learning, Computer Science, Robotics, or a related field, with ...

The Opportunity Adobe Research is looking for research scientists in Generative AI to join a world ... D. in Computer Science, AI/ML or related fields Excellent publication record in Computer Science ...

About Chai Discovery Chai is a research lab working on AI to unlock biology. Our models design new ... Our team hails from physics, math, theoretical computer science, computational biology and related ...

Research Scientist

San Francisco, CA · On-site

$200K - $325K/yr

As a Researcher, you will drive original research into the intersection of generative modeling ... PhD in Machine Learning, Computer Science, Robotics, or a related field, with publications at top ...

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Computer Science Research information

See Berkeley, CA salary details

$14

$27

$45

How much do computer science research jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for computer science research in Berkeley, CA is $27.21, according to ZipRecruiter salary data. Most workers in this role earn between $21.20 and $29.13 per hour, depending on experience, location, and employer.

What do you do as a computer science researcher?

A computer science researcher investigates and develops new algorithms, theories, and technologies related to computing. They often work in academic or industry labs, using programming, data analysis, and modeling skills to advance knowledge in areas like artificial intelligence, cybersecurity, or software engineering.

Can I make 200K with a computer science degree?

Computer science research roles can offer salaries around or above $200,000 annually, especially for experienced professionals, those working in high-demand fields like artificial intelligence or cybersecurity, or in senior positions. Achieving this level often requires advanced skills, a strong educational background, and sometimes certifications or specialized expertise.

Which has more salary, CS or AI?

In the field of computer science research, salaries for artificial intelligence (AI) specialists tend to be higher than general computer science roles due to the specialized skills and demand for AI expertise. AI researchers often require advanced knowledge of machine learning, deep learning, and data analysis, which can command higher compensation, especially in industry or specialized research positions.

Is computer science dead due to AI?

Computer science research remains vital as AI advances, driving innovation in algorithms, data structures, and software development. AI tools enhance the field but do not replace the need for foundational computer science knowledge and skills. Professionals in this area continue to develop new technologies and address complex computational problems.

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

Success in Computer Science Research requires a solid background in computer science theory, algorithms, mathematics, and typically a graduate degree such as a Master's or Ph.D. in a relevant field. Familiarity with programming languages (such as Python, Java, or C++), research tools (e.g., MATLAB, TensorFlow), and publishing research in peer-reviewed venues is highly valuable. Strong analytical thinking, problem-solving, written communication, and collaboration skills allow researchers to effectively explore novel ideas and present their findings. These competencies are critical for advancing technology, contributing original research, and working effectively in academic or industry research environments.

What is a Computer Science Research job?

A Computer Science Research job involves investigating fundamental and applied problems in computing to develop new algorithms, technologies, or theories. Researchers work in academia, industry, or government labs, focusing on areas such as artificial intelligence, cybersecurity, and data science. They conduct experiments, publish findings, and collaborate with other experts to advance the field.

What are the typical daily responsibilities of someone working in Computer Science Research?

Professionals in Computer Science Research spend their days designing and conducting experiments, analyzing data, reviewing current literature, and developing new algorithms or models. They often collaborate with cross-functional teams, including other researchers, engineers, and sometimes product managers, to advance the understanding or application of emerging technologies. A significant portion of their work also involves writing and presenting research papers, prototyping solutions, and occasionally mentoring students or junior team members. The role is dynamic and involves both independent investigation and teamwork to solve complex technical problems.

What are the most commonly searched types of Computer Science Research jobs in Berkeley, CA? The most popular types of Computer Science Research jobs in Berkeley, CA are:
What are popular job titles related to Computer Science Research jobs in Berkeley, CA? For Computer Science Research jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Computer Science Research jobs in Berkeley, CA look for? The top searched job categories for Computer Science Research jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Computer Science Research jobs? Cities near Berkeley, CA with the most Computer Science Research job openings:

AI Trainer - Computer Science Expert - Graphical Abstract - Fully Remote - (San Fran)

Prolific Academic Ltd

San Francisco, CA • Remote

Full-time

Posted 4 days ago

Be an early applicant


Job description

AI Trainer - GDM Graphical Abstract - Computer Science (Fully Remote)About Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We are seeking Computer Science Domain Experts to act as evaluators for a high-level AI verification project. AI models are now generating complex technical summaries, and we need specialists to ensure these outputs maintain scientific integrity and factual accuracy.

We need experts who can navigate dense scientific literature to judge the accuracy and structural integrity of AI-generated graphical abstracts. This is a flexible, ad hoc project where your technical expertise directly influences how AI understands and summarizes complex computer science research.

What you'll bring
  • Scientific Review: review computer science scientific papers alongside LLM-generated graphical abstracts.
  • Fact-Checking: identify issues and inaccuracies where the graphical abstract does not faithfully represent the source scientific paper.
  • Expert Verification: use your domain knowledge to ensure that technical concepts are visually and textually summarized correctly.
What you'll be doing in the role
  • Advanced Academic Credentials: you must hold a Master's or PhD in Computer Science.
  • Domain Expertise: specialized knowledge in STEM/Computer Science fields.
  • Analytical Skills: history with fact-checking tasks and a high level of basic cognitive competency.
Bonus Points
  • Previous experience with AI-related training or evaluation tasks.
  • Background in scientific publishing or peer review.
Why Prolific is a great platform to join as a Participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

Links to more information on Prolific

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.