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Contractual Computer Science Statistics Jobs in California

Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. * 4 years of experience plus min experience may substitute for minimum education requirements. Minimum Experience ...

Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. * 4 years of experience plus min experience may substitute for minimum education requirements. Minimum Experience ...

Principal Data Scientist

Duarte, CA · On-site

$48 - $62/hr

Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. * 4 years of experience plus min experience may substitute for minimum education requirements. Minimum Experience ...

Data Science, Electrical Engineering, Computer Science, Statistics) and a minimum of 3 years relevant industry experienceProficiency in PythonSolid background in machine learning and ML framework.

Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (Ph.D. preferred) * 2 to 5+ years of applied experience in data science ...

MS/PhD in Computer Science, Statistics, Physics, Operations Research, or similar quantitative domain; (will consider MS with significant related experience)3+ years experience with data analysis at ...

Master's Degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related quantitative field. Technical Skills: * Strong Python and SQL skills. * Deep understanding of ...

MS/PhD in Computer Science, Statistics, Physics, Operations Research, or similar quantitative domain3+ years experience with data analysis at web scale or relevant work experienceProficient in at ...

... Computer Science, Statistics, Mathematics, Engineering, Economics or related field Minimum Qualifications 5+ years of professional experience in data science, machine learning, or digital product ...

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Contractual Computer Science Statistics information

What is the difference between Contractual Computer Science Statistics vs Data Analyst?

AspectContractual Computer Science StatisticsData Analyst
Required CredentialsBachelor's or higher in Computer Science, Statistics, or related fields; certifications like SAS, R, or PythonBachelor's in Statistics, Data Science, or related fields; certifications like Excel, SQL, or Tableau
Work EnvironmentProject-based, often contract roles in tech, finance, or research sectorsOffice or remote, analyzing data to inform business decisions across industries
Employer & Industry UsageTech companies, research institutions, consulting firmsBusiness, healthcare, marketing, finance

Contractual Computer Science Statistics professionals focus on applying statistical methods within computer science projects, often on a contractual basis, while Data Analysts interpret data to support business strategies. Both roles require similar technical skills but differ in scope and industry application.

What job categories do people searching Contractual Computer Science Statistics jobs in California look for? The top searched job categories for Contractual Computer Science Statistics jobs in California are:
What cities in California are hiring for Contractual Computer Science Statistics jobs? Cities in California with the most Contractual Computer Science Statistics job openings:
Infographic showing various Contractual Computer Science Statistics job openings in California as of June 2026, with employment types broken down into 20% Full Time, 73% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

Copy of PhD Computer Science Expert for AI Training

Lifted, an Upwork Company™

California City, CA • Remote

$150/hr

Contractor

Posted 13 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