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Computer Science Remote Internships Jobs in Queens, NY

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Bachelor in Statistics, Mathematics, Computer Science, or related field; graduate degree in Data ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

Mercor

AI Research Scientist - PhD

New York, NY · On-site +1

$66 - $84/hr

Applied Computer Science Benchmark Specialist Type: Contract Compensation: $66-$84/hour Location: Remote Commitment: 10+ hours/week Role Responsibilities * Author original computer science questions ...

New

MM International

Data Scientist

New York, NY · Remote

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based ... PhD, MS, or BA/BS in statistics, biostatistics, computer science, data science, life science, or a ...

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Computer Science Remote Internships information

What are computer science remote internships?

Computer science remote internships are work opportunities for students or recent graduates to gain practical experience in computer science while working from a location outside of a traditional office, typically from home. Interns collaborate with teams online, using digital tools to complete tasks such as coding, software development, data analysis, or technical support. These internships provide valuable exposure to real-world projects, industry practices, and professional networking, all without the need to relocate. Remote internships are especially popular in tech fields where much of the work can be done online. They often offer flexibility in schedules and are available with companies around the world.

What types of projects can I expect to work on during a remote computer science internship, and how will I collaborate with my team?

As a remote computer science intern, you'll typically work on real-world software development projects such as coding new application features, debugging existing code, or contributing to open-source initiatives. Communication and collaboration usually take place through tools like Slack, GitHub, and video conferencing platforms, allowing you to participate in daily stand-ups, code reviews, and team meetings. You may be paired with a mentor or work within a small agile team, gaining exposure to industry-standard development practices and collaborative workflows. While managing your own tasks independently is important, you'll also have regular check-ins and opportunities to ask questions, ensuring you remain connected and supported throughout the internship.

What are the key skills and qualifications needed to thrive as a computer science remote intern, and why are they important?

To thrive as a Computer Science Remote Intern, you typically need a solid understanding of programming fundamentals, algorithms, and data structures, often supported by ongoing or completed coursework in computer science or related fields. Familiarity with version control systems like Git, collaboration tools such as Slack or Zoom, and exposure to languages like Python, Java, or JavaScript are highly valuable. Strong self-motivation, time management, and effective written communication skills help interns excel in remote environments. These abilities enable interns to contribute effectively to distributed teams, manage projects independently, and adapt to rapidly changing technical tasks.

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

AspectComputer Science Remote InternshipsSoftware Developer Internships
Required CredentialsTypically a computer science student or related field, some coding knowledgeSimilar, often requiring programming skills and coursework in software development
Work EnvironmentRemote, flexible, project-basedRemote or hybrid, focused on coding and software projects
Employer & Industry UsageTech companies, startups, research institutionsTech firms, software companies, startups
Search & Comparison IntentLooking for general computer science internship opportunitiesSeeking specific software development internship roles

Computer Science Remote Internships and Software Developer Internships share similar credentials and work environments, often targeting tech companies and startups. However, CS internships tend to be broader, encompassing various computer science topics, while Software Developer Internships focus specifically on coding and software creation. Both are valuable for gaining industry experience remotely.

What job categories do people searching Computer Science Remote Internships jobs in Queens, NY look for?

The top searched job categories for Computer Science Remote Internships jobs in Queens, NY are:

What cities near Queens, NY are hiring for Computer Science Remote Internships jobs?

Cities near Queens, NY with the most Computer Science Remote Internships job openings:

Computer Science Remote Internships jobs near you

Computer Science Expert - Fully Remote | Upto $84/hr

Mercor

New York, NY • Remote

$84/hr

Full-time

Posted 13 hours ago

Posted today

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Applied Computer Science Benchmark Specialist
Type: Contract
Compensation: $66–$84/hour
Location: Remote
Commitment: 10+ hours/week

Role Responsibilities

  • Author original computer science questions to test deep conceptual understanding. Ensure questions are unambiguous, self-contained, and precisely defined.
  • Rate each question's difficulty as Medium, Hard, or Expert. Provide 1 correct answer and 9 plausible but subtly incorrect alternatives.
  • Write step-by-step Chain-of-Thought solutions in markdown format. Supply 1–5 academic references per question from reputable sources.
  • For verification tasks, review pre-written questions for accuracy and clarity. Flag issues and justify any edits made.
  • Work independently and asynchronously to meet deadlines while advancing AI capabilities.

Qualifications

Must-Have

  • PhD or doctoral candidate in Computer Science, Electrical Engineering, or a closely related field.
  • Strong command of graduate-level CS theory, algorithms, systems design, and/or machine learning.
  • Excellent written English and ability to express complex ideas clearly and concisely.

Preferred

  • Master's degree considered for candidates with exceptional depth in a specific subdomain.
  • Research publications, industry experience at top tech companies, or competitive programming background.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.