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Computer Science Researcher information

See California salary details

$29.6K

$111.6K

$162.3K

How much do computer science researcher jobs pay per year?

As of Jun 18, 2026, the average yearly pay for computer science researcher in California is $111,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $152,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Computer Science Researcher, you need a strong background in algorithms, mathematics, and theoretical computer science, commonly supported by an advanced degree (Master's or Ph.D.) in computer science or a related field. Proficiency in programming languages (such as Python, C++, or Java), research methodologies, and experience with tools like MATLAB, TensorFlow, or research databases is essential. Critical thinking, curiosity, effective communication, and collaboration are crucial soft skills for generating innovative ideas and sharing findings. These skills and qualities are important for advancing the field, producing original research, and successfully working in multidisciplinary teams.

Can I make 200K with a computer science degree?

Computer Science Researchers working in high-demand fields such as artificial intelligence, data science, or software engineering can potentially earn $200,000 or more annually, especially with advanced skills, experience, and in senior or specialized roles. Achieving this salary often requires a strong technical background, proficiency in programming languages, and sometimes advanced degrees or certifications. Salary levels vary based on industry, location, and company size.

Which CS has the highest salary?

In computer science, roles such as machine learning engineers, data scientists, and AI specialists tend to have the highest salaries due to high demand for expertise in artificial intelligence, deep learning, and data analysis. Senior positions with advanced skills in programming, algorithms, and cloud computing typically command top compensation in the field.

What does a Computer Science Researcher do?

A Computer Science Researcher investigates new ideas, algorithms, and technologies in the field of computer science. Their work often involves designing experiments, developing prototypes, and publishing findings in academic journals or conferences. They may focus on areas like artificial intelligence, cybersecurity, data science, or software engineering. Through their research, they contribute to advancements that can impact both industry and academia. Their role typically requires strong analytical skills, programming expertise, and a deep understanding of theoretical concepts.

Is computer science dead due to AI?

As a Computer Science Researcher, AI is a rapidly evolving field that expands the scope of computer science rather than replacing it. AI advances create new research areas, tools, and job opportunities, making computer science a dynamic and ongoing discipline.

What do you do as a computer science researcher?

A computer science researcher investigates and develops new algorithms, software, and systems to advance technology. They often work in academic or industry labs, using programming languages, data analysis, and modeling tools to solve complex problems and contribute to scientific knowledge.

What are common challenges faced by Computer Science Researchers when working on collaborative projects?

Computer Science Researchers often collaborate with interdisciplinary teams, which can present challenges such as aligning goals, integrating diverse technical expertise, and managing communication across different fields. Additionally, coordinating schedules and research timelines between multiple contributors can be complex, especially when team members are based in different institutions or countries. Overcoming these challenges requires strong project management skills, clear communication, and adaptability to different working styles.
What are popular job titles related to Computer Science Researcher jobs in California? For Computer Science Researcher jobs in California, the most frequently searched job titles are:
What job categories do people searching Computer Science Researcher jobs in California look for? The top searched job categories for Computer Science Researcher jobs in California are:
Computer Science Researcher jobs near you
Infographic showing various Computer Science Researcher job openings in California as of June 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $111,621 per year, or $53.7 per hour.

PhD Computer Science Expert for AI Training

Lifted, an Upwork Company™

California City, CA • Remote

$150/hr

Contractor

Posted 21 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