Audio Engineer - AI Trainer

Handshake

Deutschland

Vor Ort

EUR 20.664 - 41.328

Teilzeit

14 Tage+

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Zusammenfassung

Handshake is looking for skilled Ardour users to support AI research through flexible, hourly contract work. This role involves using your hands-on experience with recording, editing, or mixing audio to evaluate AI-generated content.

The opportunity is project-based and ongoing, allowing you to take on this role alongside other commitments. Ideal candidates include Audio Engineers, Music Producers, and Sound Designers.

Qualifikationen

  • Hands-on experience with recording, editing, or mixing audio.
  • Ability to evaluate AI-generated content for professional workflows.

Aufgaben

  • Help AI research by providing feedback on audio tasks.
  • Create tool-related questions using your Ardour experience.
  • Review AI-generated responses for relevance and accuracy.

Kenntnisse

Recording, editing, or mixing audio using Ardour
Annotating or labeling audio assets
Working on audio projects following production briefs
Reviewing audio for quality and accuracy

Jobbeschreibung

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 will 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
  • Audio Engineer or Recording Engineer
  • Music Producer
  • Sound Designer
Skills & Experience You Should Have
  • 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.

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