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Freelance Computer Science Internships Jobs in California

Faire

Data Science Intern

San Francisco, CA

$75/hr

Data Science Internship - Multiple Teams Faire leverages machine learning and data insights to ... in Computer Science, Operations Research, Statistics, Econometrics, or a related technical ...

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Freelance Computer Science Internships information

What is the difference between Freelance Computer Science Internships vs Software Developer Internships?

AspectFreelance Computer Science InternshipsSoftware Developer Internships
CredentialsTypically require basic programming knowledge, sometimes coursework or certificationsOften require related coursework, sometimes certifications or prior experience
Work EnvironmentRemote, flexible, project-basedUsually in-office or remote, structured internship programs
Employer & Industry UsageFreelance platforms, startups, tech companiesTech companies, software firms, corporate internship programs

Freelance Computer Science Internships offer flexible, project-based work often done remotely through freelance platforms, suitable for self-motivated learners. Software Developer Internships are typically structured, in-office or remote programs within companies, providing more formal training and mentorship. Both roles require foundational programming skills but differ mainly in work setup and employer type.

What are the most commonly searched types of Computer Science Internships jobs in California? The most popular types of Computer Science Internships jobs in California are:
What cities in California are hiring for Freelance Computer Science Internships jobs? Cities in California with the most Freelance Computer Science Internships job openings:
Freelance Computer Science Internships jobs near you

Copy of PhD Computer Science Expert for AI Training

Lifted, an Upwork Company™

California City, CA • Remote

$150/hr

Contractor

Posted 5 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