Audio Engineers
Handshake AI · Region specific · Voice / audio
Audio Engineers is an open role at Handshake AI, with pay listed as Up to $125/hr.
Applications open on Handshake AI’s own site. How we make money.
At a glance
- Pay
- Up to $125/hrStated by Handshake AI
- Location
- Not stated in the listing
- Work type
- Voice / audio
- Field
- Voice / Speech
- Listed
- Since Jul 20, last confirmed Oct 24
How the pay compares
Higher than 86% of the 46 distinct hourly rates advertised for Voice / Speech roles right now. Hourly USD, top of each advertised range, one count per distinct rate. Same method as the Pay Index.
From Handshake AI’s listing
“Opportunity Overview Handshake is recruiting professionals with experience in audio engineering and production tools such as Audacity and LMMS (Linux MultiMedia Studio) to contribute to an AI research project.”
Show the full listing
Opportunity Overview
Handshake is recruiting professionals with experience in audio engineering and production tools such as Audacity and LMMS (Linux MultiMedia Studio) to contribute to an AI research project. In this project, you’ll apply your expertise to help improve how AI understands real-world professional tasks within your domain, such as recording, editing, mixing, mastering, and sound design. This is an ongoing, project-based opportunity you can take on alongside your current role.
What You’ll Do
- Use your audio engineering experience to create tasks that today’s top AI models can’t solve based on real workflows, such as multitrack recording, audio editing and restoration, mixing, mastering, signal processing, and music production
- Review and evaluate AI-generated responses
- Provide clear, structured written feedback to help improve AI model performance
- Work remotely and complete tasks at your own pace, with no set schedule or minimum hour requirement
Qualifications
- Degree: Completed Bachelor’s degree or higher
- Tool experience: At least 2 years of professional work experience using one or more of the following tools:
- Audacity
- LMMS (Linux MultiMedia Studio)
- Industry experience: Professional experience in a related field, such as music production, podcasting, broadcast, film or game audio, or live sound, or a portfolio of published recordings, mixes, or productions
- Hobbyist or personal project experience would not qualify
Additional qualifications (not required, but strengthen your application)
- Experience across multiple audio tools or workflows, such as other digital audio workstations (Ardour, Pro Tools, Logic Pro, Reaper), audio restoration, podcast production, or sound design
Required for all applicants
- Must have US work authorization
- Strong written communication and attention to detail
- Ability to explain complex audio engineering concepts clearly
- Ability to work independently
About Handshake AI: how it pays, how to get in, and what to know first. Read the guide →
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Frequently asked questions
How do I apply for the Audio Engineers role at Handshake AI?
Applications go through Handshake AI's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. Handshake AI's access model is "Apply" (Apply to listed opportunities). This listing was first seen here on July 20, 2026 and was still live at the last check.
Is the Audio Engineers role at Handshake AI remote?
Handshake AI left the location field empty on this listing, so there is nothing to report rather than something we've withheld. The constraint that still applies is Handshake AI's overall coverage: Many roles require US work authorisation.
What does the Audio Engineers role at Handshake AI pay?
Handshake AI lists this role's pay as Up to $125/hr, quoted from the listing rather than estimated.
What kind of work is Audio Engineers?
Voice / audio. Generalist and specialist AI evaluation and training projects
Is Handshake AI a legitimate AI-training platform?
Handshake AI fellowship / opportunity network - and that relationship is rated "Confirmed" here because it can be checked against joinhandshake.com rather than taken on Handshake AI's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.
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