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JobsHandshake

Audio Engineer - AI Trainer

Handshake

Audio Engineer - AI Trainer

Handshake

Remote (USA)

·

Remote

·

Full-time

·

1w ago

Opportunity Overview:

Handshake is looking for skilled Ardour users to support AI research through flexible, hourly contract work. This is not a traditional job. You'll draw on your hands-on experience with recording, editing, or mixing audio to evaluate AI-generated content and provide feedback that helps AI better understand audio tasks and professional production workflows.

This is an ongoing, project-based opportunity you can take on alongside anything else you have going on.

Who This Is For:

This is a good fit if you're an experienced Ardour user who has worked in or around roles like:

  • Audio Engineer or Recording Engineer

  • Music Producer

  • Sound Designer

You should have solid experience with one or more of the following:

  • Recording, editing, or mixing audio using Ardour

  • Annotating or labeling audio assets

  • Working on audio projects following production briefs or session guidelines

  • Reviewing audio for quality, accuracy, or sonic consistency

What You'll Do:

You'll use your experience with Ardour to create tool-related questions and review AI-generated responses for accuracy and relevance to real-world audio engineering and music production workflows.

No prior AI or technical experience is required.

Qualifications:

We're looking for people who have:

  • Minimum 3 years of hands-on experience with Ardour, whether through professional work or freelance projects

  • A working knowledge of audio engineering concepts and production workflows

  • Strong written communication skills and attention to detail

  • The ability to work independently and follow written guidelines

Work Model and Project Details:

  • Status: Independent contractor (not a full-time employee role)

  • Location: Fully remote; work from anywhere with a reliable internet connection and access to a desktop or laptop computer

  • Schedule: Flexible and asynchronous, with no minimum hour requirement. Many contributors work approximately 5–20 hours per week when assigned to an active project

  • Duration: The Handshake AI program runs year-round, with projects opening periodically across different areas of expertise. Placement depends on current project needs, with opportunities to be considered for future projects as they become available

Application Process

  • Create a Handshake account

  • Upload your resume and verify your identity

  • Get matched and onboarded into relevant projects

  • Start working and earning

Work Authorization

F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school's requirements. STEM OPT is not supported. See our Help Center article https://support.joinhandshake.com/hc/en-us/articles/32245223383703-Fellowship-Work-Authorization-Eligibility for more information on what types of work authorizations are supported on Handshake AI.

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About Handshake

Handshake

Handshake

Series E

Handshake is a career services platform that connects college students and recent graduates with employers for job opportunities and recruiting.

501-1,000

Employees

San Francisco

Headquarters

$3.5B

Valuation

Reviews

3.7

1 reviews

Work Life Balance

3.0

Compensation

3.0

Culture

3.0

Career

2.5

Management

3.0

25%

Recommend to a Friend

Pros

Platform available for job applications

Cons

Difficulty finding jobs

Low success rate after many applications

Salary Ranges

6 data points

Mid/L4

Mid/L4 · Goods In Team Leader and Stock Controller

1 reports

-

total / year

Base

-

Stock

-

Bonus

-

Interview Experience

5 interviews

Difficulty

3.2

/ 5

Duration

14-28 weeks

Offer Rate

60%

Experience

Positive 60%

Neutral 0%

Negative 40%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Interview

6

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Coding/Algorithm

Past Experience

Culture Fit