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Computer Science Remote Internships Jobs (NOW HIRING)

Stride, Inc.

Computer Science CTE Teacher

OR · 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 ...

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Computer Science Remote Internships information

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 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 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 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.

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Computer Science Remote Internships jobs near you
Infographic showing various Computer Science Remote Internships job openings in the United States as of May 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution.
Subject Matter Expert - Data Science

Subject Matter Expert - Data Science

Excelsior College

Remote

Part-time

Posted 20 days ago

Job description

Excelsior University is recruiting Subject Matter Experts (SME) on a contractual basis to support individual course development. The SME will have advanced knowledge and expertise in computer science and Data Science. Courses to be developed or revised may include: (1) Ethical Data Wrangling and Processing, (2) Predictive Analytics and Time Series Forecasting, (3) Predictive Analytics and Time Series Forecasting, (4) Big Data Analytics, (5) Foundations of Data Science. 
Reporting to the Department Chair, the SME plays a key role in the design and revision of course content. The SME works closely with the Department Chair, Learning Experience Designer, and other staff across the University during the course development process. The course development process lasts about 20-weeks/4.5 months, unless it is an expedited development. This timeline does not include the Excelsior onboarding and compliance training. 

Duties and Responsibilities: 

  • Update an existing course or design a new course based on area need, including program content and materials and/or delivery methods, and based on foundational knowledge, emerging practices, changes in the discipline, etc.
  • Align course development with course and program learning outcomes. Thematic areas may include:
  • Possess the ability to identify relevant learning resources and content.
  • Create engaging learning activities, assignments, and valid assessments of learning.
  • Ensure that the course curriculum aligns with Excelsior’s justice, equity, diversity, and inclusion (JEDI) principles.
  • Commit to being available throughout an agreed upon course development timeline and able to meet project deadlines.
  • Participate in weekly or bi-weekly course development meetings.
  • Collaborate with the course development team throughout the design process.
  • Use the Excelsior University course shell as the framework for the course.
  • Write lectures, assignments, rubrics, and provide original content in an editable format.

Qualifications:  To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

  • An earned doctorate, or a master's degree and significant professional experience in the field, ideally in the field of computer science, or another field relevant, and a background in Data Science, to supporting the program and its courses.
  • Demonstrated significant industry and/or experience in the field of Data Science.
  • Teaching experience at a two- or four-year degree granting institution in computer science or a related field preferred.
  • Familiarity with the development and implementation of curriculum and/or training computer science.

Remote applicants please be aware that the University is required to withhold New York state income taxes from your wages, as well as the state income tax, if applicable, in the state where you perform services. This is because of New York’s “convenience of the employer” rule, which requires the University, as a New York employer, to withhold New York income tax from the wages of its employees working outside of New York if the employee’s work is performed outside of New York for the convenience of the employee, rather than out of a business necessity of the University.  

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