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Remote Internship Engineering Jobs in Seattle, WA

Expression of Interest - Engineering

Seattle, WA · Remote

$19 - $24.75/hr

... programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines ... such as interns. On being Remote We take a thoughtful and intentional approach to remote ...

... Internship Work Location: Various positions available, hybrid remote/in-office options may vary ... Data Analysis and Engineering * Cybersecurity * Network Architecture * Project Management

Software Engineer (Starlink)

Redmond, WA · On-site +1

$145K - $175K/yr

Bachelor's degree in computer science, engineering, math, or STEM discipline * 1+ years of ... internship and/or project experience is acceptable) PREFERRED SKILLS AND EXPERIENCE: * Programming ...

Our interns are not observers - they are contributors. Each AI Native Intern is embedded in a real ... engineers to focus on higher-order problems. This is a fully remote position. The program runs ...

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Remote Internship Engineering information

See Seattle, WA salary details

$12

$21

$33

How much do remote internship engineering jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for remote internship engineering in Seattle, WA is $21.98, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $23.80 per hour, depending on experience, location, and employer.

What are some common challenges faced during a remote engineering internship, and how can they be addressed?

Remote engineering interns often face challenges such as limited in-person mentorship, communication barriers, and managing time zones. To overcome these, it's important to proactively schedule regular check-ins with supervisors, use collaboration tools effectively, and maintain a structured daily routine. Many successful remote interns also join virtual team meetings and participate in online project discussions to stay connected and engaged with their teams.

What is the difference between Remote Internship Engineering vs Remote Software Development Intern?

AspectRemote Internship EngineeringRemote Software Development Intern
Required CredentialsEnrolled in engineering or related degree programsEnrolled in computer science or software engineering programs
Work EnvironmentRemote, often with engineering teams or labsRemote, collaborating with software teams
Industry UsageEngineering firms, manufacturing, tech companiesTech companies, startups, software firms
Common Search IntentEngineering internships, engineering intern rolesSoftware development internships, coding intern roles

Remote Internship Engineering and Remote Software Development Intern roles share similarities in remote work settings and required technical backgrounds. However, Remote Internship Engineering typically involves broader engineering principles, hardware considerations, and interdisciplinary projects, while Remote Software Development Intern focuses specifically on coding, software design, and programming tasks. Both are valuable entry points into tech careers but cater to different skill sets and industry sectors.

What is a remote internship in engineering?

A remote internship in engineering is a temporary work experience where interns perform engineering-related tasks and projects for a company or organization from a location outside the traditional office, usually from home. Interns communicate and collaborate with their teams using digital tools and platforms, such as video meetings and project management software. These internships provide valuable industry exposure, skill development, and networking opportunities without requiring relocation. They are ideal for students or recent graduates who want real-world engineering experience while maintaining flexibility in their schedules. Remote engineering internships can cover various disciplines, including software, mechanical, electrical, and civil engineering.

What are the key skills and qualifications needed to thrive as a remote internship engineer?

To excel as a Remote Internship Engineer, a solid background in engineering fundamentals, relevant coursework, and problem-solving abilities are essential, often complemented by enrollment in or completion of an engineering degree. Familiarity with technical tools such as CAD software, programming languages, and collaboration platforms like Slack or Zoom is typically required. Strong communication, self-motivation, and time management skills make an intern stand out when working remotely. These skills and qualities are vital for effectively contributing to projects, maintaining productivity, and collaborating with teams in a virtual environment.
What cities near Seattle, WA are hiring for Remote Internship Engineering jobs? Cities near Seattle, WA with the most Remote Internship Engineering job openings:

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

The AES Group

Bellevue, WA • Remote

$17.25 - $22.25/hr

Other

Re-posted 3 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