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Phd Computer Science Jobs in California (NOW HIRING)

Qualcomm

Computer Vision Architect

San Diego, CA · On-site

Preferred : • Master's or PhD in Computer Science, Electrical Engineering, or a related discipline. • Experience with CV and ML libraries such as OpenCV, TensorFlow, and PyTorch (TorchVision ...

Qualcomm

Computer Vision Architect

San Diego, CA · On-site

Master's or PhD in Computer Science, Electrical Engineering, or a related discipline. Minimum Skills * 3-5 years of hands-on experience developing computer vision applications or libraries. * Strong ...

Qualcomm

Computer Vision Engineer

San Diego, CA · On-site

$118.40K - $139.60K/yr

... OR PhD in Computer or Electrical Engineering, Computer Science, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. • ...

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How much do phd computer science jobs pay per year?

As of May 29, 2026, the average yearly pay for phd computer science in California is $82,020.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $92,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a PhD in Computer Science, and why are they important?

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

What are some common challenges faced by PhD Computer Science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

What is a PhD in Computer Science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

Is IT worth doing a PhD in CS?

A PhD in Computer Science can be valuable for careers in research, academia, or specialized industry roles requiring advanced expertise. It typically involves several years of study, research, and publication, and can lead to higher-level positions but may not be necessary for most industry jobs that value practical skills and experience. Consider your career goals and whether the research focus aligns with your interests before pursuing a PhD.
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Phd Computer Science jobs near you
Infographic showing various Phd Computer Science job openings in California as of May 2026, with employment types broken down into 3% As Needed, 69% Full Time, 10% Part Time, 15% Contract, and 3% Nights. Highlights an 31% Physical, 12% Hybrid, and 57% Remote job distribution, with an average salary of $82,020 per year, or $39.4 per hour.

PhD Computer Science Expert for AI Training

Lifted, an Upwork Company™

California City, CA • On-site, Remote

$150/hr

Contractor

Posted 2 days ago

Job description

Company Description
An enterprise client is seeking highly technical Computer Science Experts with PhDs to support the training and evaluation of advanced AI models. This initiative focuses on improving the accuracy, reasoning, and domain expertise of generative AI systems through expert human feedback.
The selected candidates will contribute to the company's large AI training project by evaluating AI-generated responses, developing domain-specific prompts, and assessing technical accuracy across complex Computer Science topics. This is a fully remote, freelance opportunity with flexible working hours and the potential for ongoing work beyond the initial project timeline.
Job Description
This opportunity is ideal for highly analytical professionals with advanced academic or industry experience in Computer Science or related technical fields.
What You'll Do:
  • Assess the factual accuracy, relevance, and quality of AI-generated Computer Science content
  • Craft and answer domain-specific questions related to Computer Science and adjacent technical disciplines
  • Evaluate and rank AI-generated responses based on technical correctness and reasoning quality
  • Provide expert-level feedback to improve AI model performance and domain understanding
  • Support AI training initiatives by applying research, analytical thinking, and technical expertise

This role is a strong fit for professionals with backgrounds in:
  • Computer Science
  • Software Engineering
  • Machine Learning
  • Cybersecurity
  • Distributed Systems
  • Computational Science
  • Information Theory
  • Quantitative Finance (highly preferred)
  • Statistics
  • Electrical & Computer Engineering
  • Technical Research or Academia

Qualifications
Requirements:
  • Native or fluent English communication skills (written and verbal)
  • PhD in Computer Science or a closely related technical field
  • Experience working as a software engineer, researcher, or in another highly technical or analytical role
  • Strong technical reasoning and attention to detail
  • Ability to assess complex AI-generated technical outputs with accuracy and consistency

Nice to Haves:
  • Strong academic or industry research background
  • Experience reviewing technical content, publications, or research outputs
  • Familiarity with AI systems, large language models, or AI evaluation workflows
  • Experience in advanced Computer Science domains such as machine learning, distributed systems, or cybersecurity

Additional Information
  • Fully remote freelance opportunity with flexible working hours
  • Work is expected to begin immediately and continue through the end of June, with potential extensions
  • Compensation: Up to $150 USD per hour based on project participation
  • Weekly lump-sum payments issued for completed work tracked within the client platform
  • No guaranteed hours or task volume; work availability may vary weekly
  • Candidates must be physically located in one of the following regions: United States, Canada, Puerto Rico, Mexico, Great Britain, Australia, New Zealand, or Argentina
  • Selected candidates will receive onboarding instructions and platform access after acceptance
  • Candidates should not independently create an Outlier profile prior to onboarding

Apply