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Computer Science Intern Remote Jobs in Seattle, WA

DocuSign

Director, Software Engineering

Seattle, WA · On-site +1

$202K - $299K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Bachelor's degree in Computer Science, Engineering, or a related technical field * 12+ years of ...

DevSelect

Senior Software Developer/ReactJS

Seattle, WA · Remote

$62 - $82/hr

Seattle, WA - Remote Openings:5 Type: Long-Term Contract The Client is looking for an experienced ... Preferred degree in Computer Science, Information Technology or equivalent real world enterprise ...

Diverse Lynx

Software Engineer III

Bellevue, WA · On-site +1

$130K/yr

... for remote work options. Key Responsibilities: Design, develop, and implement AI solutions to ... Bachelor's degree in Computer Science, Engineering, or a closely related discipline. Demonstrated ...

DocuSign

Principal Software Engineer

Seattle, WA · On-site +1

$153K - $206K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... What you bring Basic * BA/BS in Computer Science, Electrical Engineering, Informatics, or ...

DocuSign

Software Engineer

Seattle, WA · On-site +1

$118K - $183K/yr

We look for candidates with love for computer science and engineering, and we truly believe you ... Employee divides their time between in-office and remote work. Access to an office location is ...

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All JobsComputer Science Intern Remote JobsComputer Science Intern Remote Jobs in Seattle, WA

Computer Science Intern Remote information

What are the key skills and qualifications needed to thrive as a Computer Science Intern (Remote), and why are they important?

To thrive as a Computer Science Intern (Remote), you generally need a solid foundation in programming languages (such as Python, Java, or C++), data structures, and algorithms, supported by progress toward a relevant degree. Familiarity with version control systems like Git, collaboration tools such as Slack or Zoom, and experience with integrated development environments (IDEs) are typically expected. Strong problem-solving abilities, self-motivation, and clear written communication are standout soft skills for remote work. These skills and qualities are crucial for contributing effectively to projects, collaborating with distributed teams, and adapting to the dynamic requirements of remote internships.

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

AspectComputer Science Intern RemoteSoftware Developer Intern Remote
Required CredentialsTypically pursuing a computer science degree or related fieldSimilar; often pursuing a computer science or software engineering degree
Work EnvironmentRemote, often part-time or summer internshipRemote, often part-time or summer internship
Employer & Industry UsageTech companies, startups, research labsTech companies, software firms, startups
Comparison Search IntentUnderstanding internship roles in computer scienceLooking for software development internship opportunities

Both roles are remote internships aimed at students in computer science or related fields. The main difference lies in the job titles; 'Computer Science Intern Remote' is broader, focusing on foundational computer science skills, while 'Software Developer Intern Remote' emphasizes software development tasks. Candidates should review specific job descriptions to understand the focus areas and responsibilities.

What does a Computer Science Intern do in a remote position?

A Computer Science Intern working remotely assists with software development, debugging, testing, and other technical tasks under the guidance of experienced engineers. Responsibilities may include writing code, collaborating on projects using tools like Git, and participating in virtual meetings to discuss project goals. Remote interns often communicate through email, chat, and video calls, allowing them to contribute to real-world projects from any location. The role helps students and recent graduates gain practical industry experience and build their professional network.

How do computer science interns working remotely typically collaborate with their team and receive mentorship?

Remote computer science interns often use collaboration tools such as Slack, Microsoft Teams, or Zoom to communicate with their teammates and supervisors. Regular check-ins, virtual stand-up meetings, and code reviews are common practices to ensure alignment and support. Mentorship is usually provided through scheduled one-on-one video calls and shared project management platforms, which help interns receive feedback and guidance. Clear documentation and open channels for questions also play a key role in helping interns learn and succeed while working remotely.
What are the most commonly searched types of Computer Science Remote jobs in Seattle, WA? The most popular types of Computer Science Remote jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Computer Science Intern Remote jobs? Cities near Seattle, WA with the most Computer Science Intern Remote job openings:
Computer Science Intern Remote jobs near you

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

The AES Group

Bellevue, WA • Remote

$17.25 - $22.25/hr

Other

Posted 16 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