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Internship Computer Science Opt information

What are internship opportunities for computer science OPT students?

Internship opportunities for Computer Science OPT (Optional Practical Training) students are temporary work experiences in the tech industry that allow F-1 visa holders to apply their academic knowledge in real-world settings. These internships can be with tech companies, startups, research labs, or IT departments, and often focus on software development, data analysis, cybersecurity, or other computer science fields. OPT internships help students gain valuable work experience, build professional networks, and potentially secure full-time employment after graduation. Students must ensure that the internship is directly related to their major and complies with OPT regulations set by the U.S. Citizenship and Immigration Services (USCIS).

What types of projects can I expect to work on during a computer science internship, and how much guidance will I receive?

As a Computer Science intern, you can expect to work on a variety of projects ranging from software development and debugging to data analysis and testing. These projects often support ongoing team initiatives or introduce new features under the supervision of experienced engineers. Interns typically receive mentorship from a dedicated supervisor and collaborate with team members during code reviews, daily stand-ups, and brainstorming sessions. While you will be encouraged to take initiative and solve problems independently, guidance and feedback are provided regularly to help you grow and succeed in your role.

What are the key skills and qualifications needed to thrive as an internship computer science OPT, and why are they important?

To thrive in a Computer Science Internship, you need a solid understanding of programming languages (such as Python, Java, or C++), algorithms, and data structures, typically backed by ongoing or completed coursework in computer science. Familiarity with version control systems like Git, basic software development tools, and sometimes introductory knowledge of databases or web frameworks is often expected. Strong problem-solving abilities, effective communication, and eagerness to learn help interns stand out and integrate well within teams. These skills and qualities are important because they enable interns to contribute meaningfully to projects, adapt quickly to new challenges, and grow professionally in a real-world tech environment.

What is the difference between Internship Computer Science Opt and Software Developer Intern?

AspectInternship Computer Science OptSoftware Developer Intern
Required CredentialsEnrolled in or recent graduate of CS program, OPT authorizationEnrolled in or recent graduate of CS program, internship eligibility
Work EnvironmentTech companies, startups, research labsTech companies, startups, software firms
Employer & Industry UsageUsed for international students on OPT to gain work experienceCommon internship role for students seeking software development experience

Internship Computer Science Opt and Software Developer Intern roles share similar credentials and work environments, often found in tech companies. The main difference is that the Internship Computer Science Opt specifically caters to international students on OPT, while Software Developer Intern is a broader role for all students. Both provide valuable industry experience, but the OPT internship is tied to visa status requirements.

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Internship Computer Science Opt jobs near you
Infographic showing various Internship Computer Science Opt job openings in the United States as of August 2026, with employment types broken down into 35% Internship, 29% Full Time, and 36% Part Time. Highlights an 86% In-person, and 14% Remote job distribution.

Applied Computer Science Benchmark Specialist

Weekday AI

Remote

$66 - $84/hr

Contractor

Posted 4 days ago

Job description

This role is for one of our clients
Compensation: $66 - $84 per hour
We are seeking experienced computer science professionals to author and review high-quality academic assessment content for an AI research initiative. In this role, you will develop and validate rigorous multiple-choice questions across a broad range of computer science domains, assess solution quality, and help establish gold-standard benchmarks for evaluating advanced AI systems.
You will contribute through one of two primary task types:
Question Authoring - Develop original, challenging multiple-choice questions within your area of computer science expertise, assess their difficulty, and submit them for review.
Question Verification - Review existing questions for technical accuracy, clarity, completeness, and rigor. Make necessary edits, assess difficulty, and document the rationale behind your changes.
Requirements
Computer Science Domains
  • Accelerator / GPU Kernel Engineering
  • Formal Methods & Automated Reasoning
  • Computer Architecture & Accelerators
  • Distributed Systems
  • DevOps & Site Reliability Engineering
  • Data Engineering & Databases
  • Cloud Computing & Infrastructure
  • Operating Systems & Systems Kernel
  • Machine Learning Engineering
  • Web & API Development
  • Embedded Systems Engineering
  • Computer Graphics & Game Development
  • Mobile Engineering
Key Responsibilities
  • Create original computer science questions that evaluate deep conceptual understanding, technical reasoning, and problem-solving rather than surface-level recall.
  • Ensure every question is unambiguous, self-contained, technically accurate, and sufficiently specified for a qualified expert to solve.
  • Classify questions by difficulty:
    • Medium: Introductory undergraduate level
    • Hard: Advanced undergraduate level
    • Expert: Postgraduate level and above
  • Provide one correct answer alongside nine plausible but subtly incorrect alternatives designed to distinguish strong technical reasoning from superficial knowledge.
  • Develop clear, structured solution explanations that demonstrate the reasoning and technical principles required to reach the correct answer.
  • Provide 1-5 authoritative references per question, drawing from peer-reviewed research, academic publications, university resources, and other reputable technical sources.
  • For verification assignments, identify issues related to correctness, clarity, completeness, precision, or solvability and clearly explain the reasoning behind any recommended edits.
  • Apply consistent standards when evaluating questions and solutions to ensure benchmark quality and reproducibility.
Ideal Qualifications
  • PhD or doctoral candidacy in Computer Science, Electrical Engineering, Computer Engineering, or a closely related discipline.
  • A Master's degree may be considered for candidates with exceptional expertise in a specialized computer science domain.
  • Strong command of graduate-level computer science theory, algorithms, systems, software engineering, architecture, and/or machine learning.
  • Demonstrated depth in one or more of the listed technical domains.
  • Research publications, substantial industry experience at leading technology organizations, systems engineering experience, or competitive programming experience is a strong plus.
  • Excellent written English and the ability to communicate complex technical concepts clearly, accurately, and concisely.
  • Strong attention to detail and the ability to distinguish technically valid solutions from plausible but incorrect approaches.
More About the Opportunity
  • Expected commitment: 10+ hours per week
  • Fully remote and asynchronous
  • Flexible scheduling based on project requirements
  • Opportunity to contribute to the development of high-quality benchmarks for evaluating advanced AI systems
  • Strong contributors may be considered for additional review, evaluation, or subject-matter expert opportunities
Application Process
Submit your resume or a summary of your relevant academic and professional background.
Selected candidates may be asked to complete a short technical assessment or provide additional information about their area of expertise.
Equal Opportunity
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations throughout the application and engagement process.
Contract and Payment Terms
  • Engagement will be on an independent contractor basis.
  • This is a fully remote opportunity that can be completed on your own schedule.
  • Projects may be extended, shortened, or concluded early depending on project requirements and performance.
  • Work will not require access to confidential or proprietary information belonging to any current or former employer, client, or institution.
  • Payments are made weekly through Stripe or Wise, based on services rendered.
  • H-1B and STEM OPT candidates are not eligible for this opportunity at this time.

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