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Internship Remote Mixing Engineer Jobs in Seattle, WA

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 ...

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 ...

Field Engineer

Seattle, WA ยท On-site +1

The project is located in a remote, rural area near Sedro-Woolley, WA and requires the Field ... internship or co-op experience in heavy civil or marine construction may be considered in lieu of ...

Software Engineer (Starlink)

Redmond, WA ยท On-site +1

$145K - $175K/yr

... internship and/or project experience is acceptable) PREFERRED SKILLS AND EXPERIENCE: * Programming ... remote work will not be considered COMPENSATION AND BENEFITS: Pay Range: Level 1: $125,000.00 ...

... the internship. #LI-remote Who We Need We are seeking a highly motivated and talented Machine ... Collaborate with researchers and engineers to design, develop, and refine large language models and ...

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

PLL IC Design Engineer - TeraWave

Seattle, WA ยท On-site +1

$230K - $322K/yr

A temporary remote work exception is approved while our Bay Area and San Diego sites are being ... Full proficiency in mixed-mode modeling, simulation, and verification methodologies using toolsets ...

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Internship Remote Mixing Engineer information

See Seattle, WA salary details

$15

$28

$44

How much do internship remote mixing engineer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for internship remote mixing engineer in Seattle, WA is $28.93, according to ZipRecruiter salary data. Most workers in this role earn between $23.51 and $32.84 per hour, depending on experience, location, and employer.

What is an internship remote mixing engineer?

An Internship Remote Mixing Engineer is an entry-level audio professional who assists in mixing music or audio tracks while working remotely, often as part of their training or education. Their main responsibilities include adjusting sound levels, applying effects, and balancing audio elements to achieve a polished final mix, typically under the supervision of more experienced engineers. This role allows interns to gain valuable hands-on experience and industry knowledge, often while collaborating with clients and teams from various locations. Remote mixing internships are ideal for those looking to build their skills in audio engineering without the need to commute or relocate.

What are the key skills and qualifications needed to thrive as an internship remote mixing engineer, and why are they important?

To thrive as an Internship Remote Mixing Engineer, you need a solid understanding of audio engineering principles, music production, and basic mixing techniques, often developed through coursework or personal projects. Familiarity with digital audio workstations (DAWs) like Pro Tools or Ableton Live, as well as plugins and remote collaboration tools, is typically required. Strong communication, attention to detail, and a willingness to learn help interns collaborate effectively with artists and senior engineers. These skills are important to ensure high-quality mixes, meet client expectations, and grow professionally within a remote work environment.

What types of projects and collaborations can an internship remote mixing engineer expect to work on?

As an Internship Remote Mixing Engineer, you can expect to contribute to a wide range of music and audio projects, including singles, EPs, podcasts, and even commercial audio spots. You'll typically collaborate closely with producers, artists, and other audio engineers via online platforms, sharing feedback and session files remotely. This role often involves balancing technical tasks like track editing, mixing, and file management with creative problem-solving, especially when communicating mix revisions or meeting deadlines across different time zones. The experience provides valuable insights into professional audio workflows and helps you build a network in the music industry.

What is the difference between Internship Remote Mixing Engineer vs Remote Audio Editor?

AspectInternship Remote Mixing EngineerRemote Audio Editor
CredentialsBasic audio engineering knowledge, possibly some courseworkAudio editing skills, familiarity with editing software
Work EnvironmentRemote, collaborative with producers and artistsRemote, focused on editing existing audio files
Industry UsageMusic, film, podcast productionPost-production, podcast, radio, music

The Internship Remote Mixing Engineer typically involves assisting in mixing audio tracks during the production process, gaining hands-on experience. In contrast, a Remote Audio Editor focuses on editing and refining audio recordings. Both roles are remote, require audio skills, and are used across similar industries, but they differ in responsibilities and experience level.

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

The AES Group

Bellevue, WA โ€ข Remote

$17.25 - $22.25/hr

Other

Re-posted 5 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