About the role
**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 in a remote, asynchronous environment