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Theoretical Computer Science Intern Jobs in California

GenBio AI

Research Scientist Intern

Palo Alto, CA · On-site

$8K - $10K/mo

D. student (or evidence of equivalent level of expertise) in Computer Science, Artificial ... Strong theoretical foundation (e.g., statistics, optimization, graph theory, linear algebra)

GenBio AI

Research Scientist Intern

Palo Alto, CA · On-site

$8K - $10K/mo

D. student (or evidence of equivalent level of expertise) in Computer Science, Artificial ... Strong theoretical foundation (e.g., statistics, optimization, graph theory, linear algebra)

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Theoretical Computer Science Intern information

What does a Theoretical Computer Science Intern do?

A Theoretical Computer Science Intern typically works on fundamental problems in computer science, such as algorithms, computational complexity, cryptography, or data structures. Their work often involves mathematical proofs, designing algorithms, and analyzing their efficiency rather than practical software development. Interns may assist with ongoing research projects, collaborate with senior researchers, and contribute to academic papers or presentations. The goal is to deepen understanding of the theoretical foundations that underpin computer technology.

What types of projects or research topics do Theoretical Computer Science Interns typically work on during their internship?

As a Theoretical Computer Science Intern, you'll often contribute to projects involving algorithm design, computational complexity, cryptography, or formal verification. Interns usually work closely with research scientists or professors, assisting in literature reviews, developing mathematical proofs, and running computational experiments. Collaboration is key, and you may present findings in group meetings or co-author papers. These internships provide an excellent opportunity to deepen your theoretical knowledge while gaining practical experience in a collaborative research environment.

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

To thrive as a Theoretical Computer Science Intern, you need a solid background in discrete mathematics, algorithms, and computational theory, often supported by ongoing or completed coursework in computer science or mathematics. Familiarity with programming languages like Python or C++, and tools such as LaTeX for documentation, is commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you stand out in collaborative research environments. These skills are crucial for tackling complex theoretical problems, contributing to research projects, and clearly presenting findings.

What is the difference between Theoretical Computer Science Intern vs Software Development Intern?

AspectTheoretical Computer Science InternSoftware Development Intern
Required CredentialsComputer science coursework, strong math skillsProgramming skills, coursework in software engineering
Work EnvironmentResearch labs, academic settings, tech companiesDevelopment teams, tech companies, startups
Industry UsageResearch projects, algorithm development, academiaApplication development, product building, coding

Theoretical Computer Science Interns focus on research, algorithms, and mathematical foundations, often in academic or research settings. Software Development Interns work on coding, building applications, and software projects in industry environments. Both roles require strong technical skills but differ in their focus and work environment.

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

Copy of PhD Computer Science Expert for AI Training

Lifted, an Upwork Company™

California City, CA • Remote

$150/hr

Contractor

Posted 14 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