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Remote Computer Science Summer Internship Sophomore Jobs

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 ...

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.

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How much do remote computer science summer internship sophomore jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for remote computer science summer internship sophomore in the United States is $17.44, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is a Remote Computer Science Summer Internship for sophomores?

A Remote Computer Science Summer Internship for sophomores is a temporary, online position offered to college students who have completed their second year of study in computer science or a related field. These internships allow students to gain practical experience, work on real-world projects, and develop technical and soft skills while working from home or another remote location. Such programs are designed to give sophomores exposure to the tech industry, networking opportunities, and a chance to apply classroom knowledge in a professional setting. They typically last 8-12 weeks during the summer and can lead to future job or internship opportunities.

What are some common challenges faced by sophomores in remote computer science summer internships, and how can they overcome them?

Sophomore interns in remote computer science roles often face challenges such as limited hands-on mentorship, difficulty understanding project context, and learning to collaborate virtually with team members. To overcome these challenges, it's helpful to proactively schedule regular check-ins with mentors, participate actively in team meetings, and utilize collaboration tools like Slack or Zoom. Building a habit of documenting questions and progress can also facilitate communication and ensure you're making steady progress, even when working independently.

What are the key skills and qualifications needed to thrive as a Remote Computer Science Summer Internship Sophomore, and why are they important?

To thrive as a Remote Computer Science Summer Internship Sophomore, you need a solid understanding of programming fundamentals, data structures, and algorithms, typically gained through relevant coursework or projects. Familiarity with version control systems such as Git, coding languages like Python or Java, and collaboration tools like Slack or Zoom is often expected. Strong self-motivation, communication skills, and time management set standout interns apart in a remote environment. These skills and qualities are crucial for delivering quality work, effectively collaborating with teammates, and making the most of the internship experience.
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Internship - Cloud & AI Engineering (Anthropic Claude Partner Network)

Internship - Cloud & AI Engineering (Anthropic Claude Partner Network)

The AES Group

Bellevue, WA • Remote

$17.25 - $22.25/hr

Other

Posted 29 days ago

Job description

Internship - Cloud & AI Engineering (Anthropic Claude Partner Network)
Location: Remote / Hybrid
Company: The AES Group

Duration:  Summer Internship: May to Sep

About the Opportunity

The AES Group has been selected to join the Anthropic Claude Partner Network, a highly selective group of partners working directly with Anthropic to implement advanced AI solutions for enterprise customers.

Through this partnership, we have access to specialized training, tools, and certifications that are not available publicly. We are opening a limited number of seats for highly motivated students who want to work at the intersection of AI, cloud, and real-world enterprise deployment.

This is a selective, training-first program designed for students who want to build real capability, not just add an internship line to their resume.

What Makes This Different

Most internships focus on small tasks or internal projects.
This program is built to prepare you for real-world AI implementation:

  • Direct alignment with Anthropic’s partner ecosystem
  • Exposure to real enterprise use cases
  • Mentorship from senior professionals with 25+ years of experience
  • Structured training tied to real deployment scenarios

Key Responsibilities

  • Complete Anthropic partner training programs focused on AI and cloud implementation
  • Work alongside senior engineers to understand how AI solutions are designed and deployed
  • Support internal build efforts involving APIs, workflows, and cloud-based systems
  • Participate in problem solving discussions tied to real or near-real customer scenarios

Program Expectations

  • You will be given access to specialized training available only to Anthropic cloud partners
  • You are expected to complete the training and pass the associated certification exams
  • This program requires a high level of commitment, discipline, and self-direction
  • The goal is to prepare you to contribute to real AI and cloud implementation work

Compensation & Structure

  • This is an unpaid, training-focused internship program
  • All fees associated with Anthropic certification exams will be fully covered by The AES Group

What You’ll Gain

  • Access to Anthropic partner-only training and tools
  • Opportunity to earn Anthropic certification available only through this partner channel
  • Full coverage of certification exam fees by The AES Group
  • Hands-on exposure to enterprise AI implementation scenarios
  • Mentorship from experienced industry professionals
  • A highly differentiated experience for careers in AI, engineering, and consulting

Who Should Apply

We are looking for candidates who are serious about building in AI:

  • Undergraduate students in Computer Science, Engineering, or related fields
  • Strong interest in AI, cloud computing, and emerging technologies
  • Experience with programming, preferably Python
  • Demonstrated initiative through projects, coursework, or self-learning
  • Ability to work through ambiguity and learn quickly
  • Strong communication and problem solving skills

Selection Process

Due to limited seats, candidates will be selected based on:

  • Demonstrated interest in AI and cloud technologies
  • Technical foundation and learning ability
  • Motivation and commitment to complete the program

How to Apply

Submit:

  • Resume
  • A short note on why you are interested and what you hope to gain from this program