Audio Engineer - Remote AI Research Fellowship
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI seeks audio professionals who know tools like Audacity, Ardour, or Linux Multi-Media Studio to join an AI research effort. The program runs year-round, and new project opportunities open at different times. You work remote and async, set your own hours, and carry no minimum commitment. Assignments can include writing domain-specific prompts and judging LLM responses for accuracy in audio work. Placement depends on project availability.
What You'll Do8
- 1Write prompts that reflect real audio engineering tasks, such as editing sessions in Audacity or Ardour.
- 2Review LLM answers about audio tools and point out mistakes in reasoning or terminology.
- 3Score model responses against domain standards for audio production and editing.
- 4Document evaluation notes that AI research teams can use to improve model behavior.
- 5Apply hands-on experience with Linux Multi-Media Studio to test how models handle open-source DAW workflows.
- 6Compare model output with accepted audio engineering practices and flag weak or misleading advice.
- 7Coordinate with AI research teams through async channels when project needs arise.
- 8Contribute domain examples that help models learn audio-specific language and tasks.
Requirements5
- 1At least 3 years of work experience using Audacity, Ardour, Linux Multi-Media Studio, or related technical audio tools.
- 2Ability to work async with AI research teams and manage your own schedule.
- 3Strong grasp of audio engineering workflows, including editing, mixing, and production tasks.
- 4Clear written communication for prompt writing and response evaluation.
- 5Comfort reviewing LLM output and giving structured feedback.
Who Should Apply
Audio engineers with 3 or more years in Audacity, Ardour, Linux Multi-Media Studio, or similar DAWs fit this project well. The role suits someone who can write clear prompts, judge model answers, and work async without a fixed schedule. People who need guaranteed hours, steady project placement, or close supervision should look elsewhere. Applications often score low when candidates list less than 3 years of tool experience or show no examples of audio editing work. Weak writing samples also hurt, since the job centers on prompt creation and detailed response reviews.
Salary Insight
Pay goes up to $125.00 per hour. For part-time AI training projects in audio engineering, that rate sits near the top of the range and matches the demand for specialized tool experience, such as Audacity, Ardour, or Linux Multi-Media Studio. The source gives no set weekly hours, so total earnings depend on project availability and your chosen schedule.
Location
Compensation
Up to $125/hr
Required Skills
Application Tip
Name the exact tools you have used for 3 or more years, including Audacity, Ardour, or Linux Multi-Media Studio, and add one project where you edited or mixed audio. Pair that with a short sample prompt and a model critique to show you can evaluate LLM responses.
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