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Remote Computer Science Research Jobs in California

Remote Role Responsibilities * Evaluate the accuracy and depth of AI-generated content to ... PhD in Machine Learning , Computer Science , AI , or a closely related field. * Published at least ...

New

Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project with ... Science , AI/ML Research , Computer Science , Game Development , or Mechanical/Aerospace ...

PhD (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Computational Biology, or a related technical field. * Proven track record in research and innovation ...

PhD (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Computational Biology, or a related technical field. * Proven track record in research and innovation ...

$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 ...

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

... computer science, electrical engineering, or related fields/experience * Strong Python programming ... Mountain View, CA (not a remote position) Employment Eligibility: At this time NextSense is only ...

You have good understanding of foundational computer science concepts like design patterns, data ... About Tilda Research We are a clinical trial network built from the ground up, suitable for the ...

Research Scientist

San Francisco, CA · On-site +1

$158K - $269K/yr

As a research scientist, you will invent new AI technologies that enable our launch of fully ... Qualifications: - Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ...

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

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

ML Research Scientist - PhD

Mercor

San Francisco, CA • Remote

$60 - $100/hr

Full-time

Posted 2 days ago

New


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: ML Research PhD Experts (ICML / NeurIPS / ICLR Publications)
Type: Contract
Compensation: $60–$100/hour
Location: Remote

Role Responsibilities

  • Evaluate the accuracy and depth of AI-generated content to strengthen reasoning and rigor in model outputs.
  • Review complex machine learning research for alignment with domain principles and methodologies.
  • Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance.
  • Develop evaluation rubrics and benchmarks for assessing AI-generated tasks and solutions.
  • Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • PhD in Machine Learning, Computer Science, AI, or a closely related field.
  • Published at least one main conference paper at ICML, NeurIPS, or ICLR.
  • Strong preference for candidates with 2+ publications at these venues.
  • Demonstrated experience conducting original ML research.

Preferred

  • Expertise in Reinforcement Learning (RL).
  • Knowledge of Meta-Learning.
  • Experience with Recursive Self-Improvement.
  • Interest in AI for Science (e.g., weather forecasting, protein modeling, scientific discovery).

Start Date

  • Urgent; applications reviewed on a rolling basis.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.