Data Labeler - Music - Remote

Overview

This role is remote and can be executed globally. We are looking for a passionate music data labeler to help curate our datasets and drive exciting new features for our platform.

In Short

• Review audio assets and apply detailed descriptive labels.
• Enhance machine learning models to deliver high-quality results.
• Requires understanding of music theory and structure.
• Exceptional musical taste is essential.
• Work autonomously and take initiative.
• Collaborate with a global team across 30+ countries.
• Participate in high-velocity innovation and rapid experimentation.
• Contribute to shaping the future of AI in music.
• Continuous growth opportunities with AI leaders.
• Remote-first work environment with minimal meetings.

Requirements

• Comprehensive genre knowledge.
• Expertise in musical structure and emotion.
• Strong understanding of music theory.
• Proficiency in reading music notation.
• Sharp ear for pitch and melody.

Benefits

• High-velocity innovation with minimal bureaucracy.
• Collaboration with a truly global team.
• Structured asynchronous workflows for maximum impact.
• Annual company offsite for team bonding.
• Opportunities for continuous growth and contribution.