ZipRecruiter

Log In

2

Remote Computer Science Internship Jobs (NOW HIRING)

Strayos

$13 - $17.50/hr

As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine ... Engineering, Physics, Computer Science or a related field, within 1 year of completion.

Stride, Inc.

Computer Science CTE Teacher

Denton, TX · Remote

$49K/yr

TEXAS The remote High School CTE Teacher in Computer Science is state certified teacher and/or alternatively certified CRE/CTE Teacher responsible for delivering specific course content in an on-line ...

next page

Showing results 1-20

All JobsComputer Science JobsRemote Computer Science Internship Jobs

Remote Computer Science Internship information

What is a Remote Computer Science Internship job?

A Remote Computer Science Internship is a temporary, virtual position where students or aspiring professionals gain hands-on experience in computer science fields such as software development, data analysis, cybersecurity, or AI. Interns work on real-world projects, collaborate with teams, and develop technical and problem-solving skills—all from a remote location. These internships provide valuable exposure to industry tools, programming languages, and professional workflows, enhancing career prospects.

What kind of support and mentorship can I expect during a Remote Computer Science Internship?

Remote Computer Science Interns typically receive regular guidance from designated mentors or team leads through scheduled video calls, chat channels, and collaborative online tools. You'll have access to code reviews, feedback sessions, and opportunities to participate in virtual team meetings, allowing you to learn from experienced professionals and ask questions in real-time. Many organizations also provide onboarding resources, documentation, and community forums to help new interns integrate smoothly. This supportive environment ensures you can develop your skills, overcome remote work challenges, and make meaningful contributions during your internship.

What are the key skills and qualifications needed to thrive in the Remote Computer Science Internship position, and why are they important?

To thrive as a Remote Computer Science Intern, you should possess a solid understanding of programming languages such as Python, Java, or C++, strong problem-solving abilities, and be actively pursuing or holding a degree in computer science or a related field. Familiarity with version control systems like Git, basic knowledge of software development tools, and exposure to collaborative platforms such as GitHub or Jira are highly valued. Excellent communication, self-motivation, and time management skills enable you to work effectively in a remote environment and stay connected with your team. These competencies are essential for successfully contributing to real-world projects, adapting to remote workflows, and developing professionally during the internship.

More about Remote Computer Science Internship jobs
What cities are hiring for Remote Computer Science Internship jobs? Cities with the most Remote Computer Science Internship job openings:
What are the most commonly searched types of Remote Computer Science jobs? The most popular types of Remote Computer Science jobs are:
What states have the most Remote Computer Science Internship jobs? States with the most job openings for Remote Computer Science Internship jobs include:
What job categories do people searching Remote Computer Science Internship jobs look for? The top searched job categories for Remote Computer Science Internship jobs are:
Remote Computer Science Internship jobs near you
Infographic showing various Remote Computer Science Internship job openings in the United States as of July 2026, with employment types broken down into 18% Internship, 46% Full Time, 27% Part Time, 3% Temporary, and 6% Contract. Highlights an 100% Remote job distribution.

Computer Science Specialist remote

ESRhealthcare and EXEC STAFF RECRUITERS

New York, NY • Remote

Full-time

Posted 9 days ago

Job description

Computer Science Specialist remote

https://jobs.micro1.ai/post/75b76df7-6fe1-4759-8c0c-fd552054169b?referralCode=1761f2a1-0970-4c4f-a273-a1b557d5ad9f&utm_source=referral&utm_medium=share&utm_campaign=job_referral

Computer Science Specialist

Role Type: Contractor

Location: Remote

micro1 is engaging Computer Science Specialists to contribute their advanced expertise in support of a customer's project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Scope of Work

Analyze and evaluate computer science problems, solutions, and applied methodologies to inform AI system training.

Author, critique, or edit technical documentation such as system design documents, research write-ups, or technical papers to ensure clarity and rigor.

Develop and review real-world computer science scenarios, datasets, and case studies for use in AI learning workflows.

Assess technical queries and propose detailed, well-structured responses based on current best practices and foundational concepts.

Collaborate with project coordinators to refine task guidelines and optimize data quality.

Provide insightful written and verbal feedback to improve model accuracy, relevance, and robustness.

Support the evaluation and continuous improvement of AI-driven tools with constructive analysis and domain expertise.

Preferred Qualifications

BSc, MSc, or PhD in Computer Science or a closely related discipline.

Experience authoring technical papers, system design documents, or research publications.

Demonstrated expertise in a specialized domain such as algorithms, distributed systems, networking, databases, or artificial intelligence.

Exceptional written and verbal communication skills, with a passion for precise, effective expression.

Proven ability to break down complex concepts for diverse audiences and applications.

Track record of participation in collaborative research, technical reviews, or open-source contributions.

Adaptability and commitment to delivering high-quality, insightful contributions within project guidelines.