Audio Engineer - Remote AI Research Fellowship

What You'll Do8

• Write prompts that reflect real audio engineering tasks, such as editing sessions in Audacity or Ardour.
• Review LLM answers about audio tools and point out mistakes in reasoning or terminology.
• Score model responses against domain standards for audio production and editing.
• Document evaluation notes that AI research teams can use to improve model behavior.
• Apply hands-on experience with Linux Multi-Media Studio to test how models handle open-source DAW workflows.
• Compare model output with accepted audio engineering practices and flag weak or misleading advice.
• Coordinate with AI research teams through async channels when project needs arise.
• Contribute domain examples that help models learn audio-specific language and tasks.

Requirements5

• At least 3 years of work experience using Audacity, Ardour, Linux Multi-Media Studio, or related technical audio tools.
• Ability to work async with AI research teams and manage your own schedule.
• Strong grasp of audio engineering workflows, including editing, mixing, and production tasks.
• Clear written communication for prompt writing and response evaluation.
• Comfort 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.

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