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Remote Computer Science Jobs in Oakland, CA (NOW HIRING)

Mercor

ML Research Scientist - PhD

San Francisco, CA · Remote

$60 - $100/hr

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 ...

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Pinterest

Data Scientist

San Francisco, CA · On-site +1

Bachelor's degree in Computer Science, a related field or equivalent experience This position is not eligible for relocation assistance. #LI-REMOTE #LI-NM4

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Remote Computer Science information

See Oakland, CA salary details

$25K

$95.3K

$208K

How much do remote computer science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote computer science in Oakland, CA is $95,327.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,149.00 and $136,456.00 per year, depending on experience, location, and employer.

What are remote computer science jobs?

Remote computer science jobs include a wide variety of roles focused on the use and analysis of computers and networks, including security specialists, network administrators, and software programmers. In these roles, you may develop hardware or software, control user accounts and permissions, analyze security procedures, manage confidential information, order repairs and replacements, manage inventory levels, conduct penetration tests, or manage a full development cycle for new software. Remote computer science jobs frequently use databases, private networks, intrusion detection systems, and remote conferencing software to help coordinate jobs. This is something of a catch-all term for computer-based positions, so if you are looking for a specific role, such as a remote programmer or remote computer engineer, you may need to narrow your search terminology.

What are remote computer science jobs?

Remote computer science jobs are positions that involve the application of computer science principles—such as programming, software development, data analysis, and cybersecurity—that can be performed from any location with internet access. These roles often include software engineer, web developer, data scientist, system administrator, and more. Remote computer science professionals collaborate with teams virtually, using digital communication and project management tools. This flexibility allows employees to work from home or anywhere in the world, offering a better work-life balance and access to global job opportunities.

How do remote computer science professionals typically collaborate with their teams to ensure project success?

Remote computer science professionals usually rely on a mix of communication and project management tools—such as Slack, Zoom, GitHub, and Jira—to collaborate effectively with their teams. Regular virtual meetings, code reviews, and shared documentation help maintain alignment and transparency. While working remotely offers flexibility, it can also require proactive communication and self-management to avoid misunderstandings and stay on track with deliverables. Many teams adopt Agile methodologies to structure their work and foster collaboration, regardless of physical location.

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

To thrive as a Remote Computer Science professional, you need strong programming skills, problem-solving abilities, and a relevant degree or equivalent experience in computer science or software engineering. Proficiency with coding languages (such as Python, Java, or C++), version control systems like Git, and remote collaboration tools (e.g., Slack, Jira, Zoom) is essential. Excellent communication, self-motivation, and time management are vital soft skills for working independently and with distributed teams. These skills and qualities enable efficient development, seamless teamwork, and successful project delivery in a remote environment.

Can I work remotely with a computer science degree?

Yes, many computer science roles can be performed remotely, especially in software development, programming, and IT support. Remote work often requires strong technical skills, familiarity with collaboration tools, and self-discipline, and some positions may require specific certifications or experience.
More about Remote Computer Science jobs

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Remote Computer Science jobs near you
Infographic showing various Remote Computer Science job openings in Oakland, CA as of August 2026, with employment types broken down into 70% Full Time, 16% Part Time, and 14% Contract. Highlights an 24% In-person, and 76% Remote job distribution, with an average salary of $95,327 per year, or $45.8 per hour.

Computational Chemistry Expert - PhD

Mercor

San Francisco, CA • Remote

$70 - $100/hr

Full-time

Posted 10 days ago

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: Computational Chemistry & Electronic Structure Expert
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to evaluate AI systems using real scientific software.
  • Develop problems requiring strategic planning and execution of complex, multi-step workflows.
  • Refine problems through iterative testing against state-of-the-art AI models to achieve target difficulty.
  • Collaborate with AI research teams to ensure problems test reasoning and strategic thinking.
  • Work independently to design and improve problem setups and solution validators using Python.
  • Operate in a Linux/terminal environment with remote compute sandboxes.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proven proficiency with scientific software libraries like PySCF.
  • Strong Python skills.
  • Ability to work independently and refine problem designs.
  • Comfortable in a Linux/terminal environment.

Preferred

  • Experience across multiple domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

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.