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Computer Science Analyst Jobs in California (NOW HIRING)

Computer Scientist (Ph.D.)

Menlo Park, CA · On-site

$132K - $154K/yr

We are committed to engaging multidisciplinary teams of science, engineering, and regulatory ... Performing analysis/consulting on a variety of scientific/engineering problems in a variety of ...

Computer Vision Engineer

San Diego, CA · On-site

$118K - $139K/yr

... analytics experiences. Responsibilities : • Leverage advanced video and computer vision ... Required : • Bachelor's degree in Computer or Electrical Engineering, Computer Science, or ...

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Computer Science Analyst information

See California salary details

$14

$33

$64

How much do computer science analyst jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for computer science analyst in California is $33.61, according to ZipRecruiter salary data. Most workers in this role earn between $24.66 and $39.13 per hour, depending on experience, location, and employer.

How does a Computer Science Analyst typically collaborate with other departments within an organization?

Computer Science Analysts frequently work cross-functionally, partnering with teams such as software development, IT, and business operations to analyze data, improve systems, and implement technology solutions. They often act as a bridge between technical specialists and non-technical stakeholders, translating business needs into actionable technical requirements. Effective communication and collaboration are crucial, as analysts may participate in meetings, provide regular updates, and help troubleshoot challenges that arise during project implementation.

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

To thrive as a Computer Science Analyst, you need a solid background in programming, data analysis, and problem-solving, usually supported by a degree in computer science or a related field. Familiarity with analytical tools such as SQL, Python, data visualization software, and sometimes certifications like CompTIA Data+ or Microsoft Certified: Data Analyst Associate is highly beneficial. Strong analytical thinking, attention to detail, and effective communication set top performers apart in this position. These skills ensure that analysts can interpret complex data, provide actionable insights, and collaborate effectively to support organizational goals.

What does a Computer Science Analyst do?

A Computer Science Analyst is responsible for studying and evaluating computer systems and processes within an organization to improve efficiency, security, and effectiveness. They analyze data, design solutions, and may assist in implementing new technologies or optimizing existing systems. Their work often involves collaborating with IT teams and other departments to understand business needs and translate them into technical requirements. Computer Science Analysts also play a key role in troubleshooting and solving complex technical problems. This role requires strong analytical, problem-solving, and communication skills.
What job categories do people searching Computer Science Analyst jobs in California look for? The top searched job categories for Computer Science Analyst jobs in California are:
Infographic showing various Computer Science Analyst job openings in California as of May 2026, with employment types broken down into 1% As Needed, 94% Full Time, 2% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $69,905 per year, or $33.6 per hour.

PhD Computer Science Expert for AI Training

Lifted, an Upwork Company™

California City, CA • Remote

$150/hr

Contractor

Posted 10 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