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Internship Remote Manufacturing Engineering Jobs in Seattle, WA

Software Engineer, PCBA (Starlink)

Redmond, WA ยท On-site +1

$145K - $175K/yr

SOFTWARE ENGINEER, PCBA (STARLINK) As a Software Engineer on the PCBA design and manufacturing team ... internship and/or project experience is acceptable) PREFERRED SKILLS AND EXPERIENCE: * Programming ...

Expression of Interest - Engineering

Seattle, WA ยท 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 ...

... remote Overview Join a collaborative, innovation-driven medical technology organization where you'll lead critical engineering change initiatives within a Class III medical device manufacturing ...

... remote Overview Join a collaborative, innovation-driven medical technology organization where you'll lead critical engineering change initiatives within a Class III medical device manufacturing ...

... remote Overview Join a collaborative, innovation-driven medical technology organization where you'll lead critical engineering change initiatives within a Class III medical device manufacturing ...

... remote Overview Join a collaborative, innovation-driven medical technology organization where you'll lead critical engineering change initiatives within a Class III medical device manufacturing ...

... remote Overview Join a collaborative, innovation-driven medical technology organization where you'll lead critical engineering change initiatives within a Class III medical device manufacturing ...

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Internship Remote Manufacturing Engineering information

See Seattle, WA salary details

$12

$21

$33

How much do internship remote manufacturing engineering jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for internship remote manufacturing 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 is the difference between Internship Remote Manufacturing Engineering vs Remote Manufacturing Technician?

AspectInternship Remote Manufacturing EngineeringRemote Manufacturing Technician
Required CredentialsTypically pursuing or recent degree in engineering or related fieldTechnical diploma or certification, some experience preferred
Work EnvironmentRemote with occasional on-site visits, collaborative team settingPrimarily remote support, with on-site troubleshooting as needed
Employer & Industry UsageManufacturing companies, engineering firms, industrial sectorsManufacturing plants, industrial service providers

Internship Remote Manufacturing Engineering focuses on gaining engineering knowledge through remote tasks and projects, often for students or recent grads. Remote Manufacturing Technicians provide technical support and troubleshooting remotely but may require on-site visits. Both roles serve manufacturing industries but differ in experience level and responsibilities.

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

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

The AES Group

Bellevue, WA โ€ข Remote

$17.25 - $22.25/hr

Other

Re-posted 8 days ago


Job description

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

Duration: ย 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 Anthropicโ€™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 Youโ€™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