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Internship Online Computer Science Jobs (NOW HIRING)

Tyler Junior College

Professor, Computer Science

TX · On-site

Computer Science Opening Date: 06/11/2026 Number of Months: 9 Tyler Junior College gives equal ... Follow attendance and office hour requirements for online and hybrid classes as specified in the ...

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Internship Online Computer Science information

What are the key skills and qualifications needed to thrive as an Internship Online Computer Science, and why are they important?

To thrive as an Online Computer Science Intern, you need a solid understanding of programming languages (such as Python or Java), data structures, and basic algorithms, often supported by ongoing coursework or a related degree. Familiarity with development tools like Git, code editors, and collaboration platforms (e.g., GitHub, Slack) is typically required. Strong problem-solving abilities, self-motivation, and effective virtual communication make candidates stand out in remote settings. These skills and qualities are essential for contributing effectively to technical projects and collaborating in an online work environment.

What is the difference between Internship Online Computer Science vs Software Developer Intern?

AspectInternship Online Computer ScienceSoftware Developer Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science or related fieldSame as CS internship, often with programming coursework or projects
Work EnvironmentRemote, flexible online settingsRemote or hybrid, often with team collaboration tools
Employer & Industry UsageTech companies, startups, research institutionsSoftware companies, tech startups, IT departments
Search & Comparison IntentUnderstanding internship opportunities in CSComparing internship roles in software development

Internship Online Computer Science and Software Developer Intern roles share similar educational backgrounds and work environments, often being remote and industry-focused on tech. The main difference lies in the specific job focus: CS internships may cover broader topics like algorithms and systems, while Software Developer Interns focus more on coding, software design, and development tasks.

How do online computer science internships typically structure mentorship and support for interns?

Online computer science internships often provide mentorship through virtual meetings, regular check-ins, and dedicated communication channels like Slack or Microsoft Teams. Interns are usually paired with a mentor or supervisor who helps guide them through projects, answer technical questions, and provide feedback on their work. Many programs also offer weekly team meetings and opportunities to collaborate with other interns and full-time staff, ensuring interns are integrated into the team and can build valuable professional relationships.

What are internship online computer science positions?

Internship online computer science positions are temporary, remote work opportunities for students or recent graduates to gain hands-on experience in computer science fields. These internships typically involve working on coding projects, software development, data analysis, or IT support, all conducted via the internet. Participants collaborate with mentors and team members using online tools, allowing them to develop technical and professional skills from anywhere. These internships often serve as a pathway to full-time roles or further education in computer science.
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What are the most commonly searched types of Online Computer Science jobs? The most popular types of Online Computer Science jobs are:
What states have the most Internship Online Computer Science jobs? States with the most job openings for Internship Online Computer Science jobs include:
What job categories do people searching Internship Online Computer Science jobs look for? The top searched job categories for Internship Online Computer Science jobs are:
Internship Online Computer Science jobs near you
Infographic showing various Internship Online Computer Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution.
Part-Time Online Faculty - Computer Science

Part-Time Online Faculty - Computer Science

Excelsior College

Remote

$1.0K/wk

Part-time

Re-posted 18 days ago

Job description

Candidates should have advanced knowledge and expertise in Computer Science, with a demonstrated passion for teaching adult learners and helping them thrive academically. Preference will be given to candidates with experience in various areas of Computer Science and a proven track record of excellence in teaching adult learners in an online environment. This position reports directly to the Department Chair of IT and Cybersecurity.

Teaching at Excelsior University means embracing a commitment to teaching excellence and delivering high-quality instruction to non-traditional students. Our faculty play a vital role in empowering students to acquire the knowledge and skills necessary to excel as leaders in their professions. Faculty members foster diverse perspectives, encourage critical thinking and problem-solving, and help students challenge assumptions while connecting research to real-world practice. They are deeply engaged in teaching, mentoring, and guiding students toward academic and professional success.

Duties and Responsibilities: 

  • Teach assigned course as prescribed, making no changes to content or implementation guidelines.
  • Demonstrate subject matter expertise through constructive and substantive involvement with student discussions/learning activities and sharing of expertise and experience.
  • Challenge students’ own thinking and form connections between theory and practice across disparate areas of knowledge in diverse settings, and among divergent viewpoints.
  • Create an effective, engaged, and vibrant online learning community by maintaining a frequent and meaningful online/email presence in courses.
  • Adhere to established minimum teaching and engagement expectations, and to all University and School of Graduate Studies policies as outlined in the Faculty Handbook.
  • Offer timely formative and summative feedback on student assignments. Set clear academic standards, provide constructive feedback throughout the course, and provoke critical thinking.
  • Commit an average of 134-140 hours of work per 3-credit course assigned.
  • Provide prompt, substantive, and timely responses to student needs and communications.
  • Be familiar with the Canvas learning management system and all support services available to students.
  • Demonstrate skill in understanding cultural differences and a commitment to diversity, equity, and inclusion. Experience working with individuals from diverse racial, ethnic, and socioeconomic backgrounds. 

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 master's degree in computer science or related field required. Doctorate preferred. 

  • Demonstrated significant industry and/or experience in the field of Data Science, Artificial Intelligence, Networking and Cloud Computing, or Software Development.

  • Teaching or training experience in Data Science, Artificial Inelegance, Networking and Cloud Computing, Software Development, or related fields.

  • Strong interpersonal communication and problem-solving skills.

  • Commitment to Excelsior University's mission and CARES Credo.

Rate of Pay: 

1. A flat rate of $1000 per credit for a section of at least 10 undergraduate students or 8 graduate students. Courses that fall under these student headcounts are
considered low enrolled courses.
2. Low enrolled courses will be paid on a directed study rate ($250/student for undergraduate courses and $300/student for graduate courses) based on the number of students enrolled in the course section at the close of late registration. 

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