Data Labeler - Music

2 Months ago • All levels • Education

Job Summary

Job Description

ElevenLabs seeks a passionate Music Data Labeler to curate datasets and enhance machine learning models. Responsibilities include reviewing audio assets, applying detailed descriptive labels (genre, structure, emotion, instrumentation), and leveraging music theory expertise (keys, scales, chords, tempo) to accurately classify and annotate musical elements. The ideal candidate possesses exceptional musical taste, strong analytical skills, and a commitment to high-quality work. This remote role contributes directly to the improvement of ElevenLabs' music AI models, demanding a sharp ear for pitch, melody, and a comprehensive understanding of music genres and structures. The position requires proficiency in reading music notation.
Must have:
  • Expert ear for music
  • Comprehensive genre knowledge
  • Music theory expertise
  • Proficiency in music notation
  • Strong analytical skills
Perks:
  • High-velocity innovation
  • Global team
  • Remote-first work environment
  • Continuous growth opportunities
  • Annual company offsite

Job Details

This role is remote and can be executed globally.

About ElevenLabs 

At ElevenLabs, we are pioneering voice technology with our cutting-edge research and products. 

We launched in January 2023 and have since reached over 1 million users globally and have partnered with the world’s biggest names (see customer stories). We closed our Series-C funding at a 3.3B valuation at the beginning of this year and are backed by the leading names in tech and AI (a16z, ICONIQ, NEA, Sequoia, NFDG, Salesforce, and many others).

We are at an exciting phase of our growth and innovation and are looking for ambitious people to help us further push the boundaries of voice AI. This is a rare chance to be an early member of a company on the rise. If this excites you, we want to meet you! 

Who we are

A global team of passionate and innovative individuals united by curiosity and a shared goal: to be the first choice for AI audio solutions. Together, we are shaping a new technology and market from the ground up. We innovate quickly and take pride in getting things right, from the big picture initiatives to the details that keep us moving smoothly every day. We work with high autonomy and accountability where the best idea wins at any time and from anyone. 

About the role 

We are looking for a passionate music data labeler to help curate our datasets and drive exciting new features for our platform. In this role, you will review audio assets, apply detailed descriptive labels, and enhance our machine learning models to deliver high-quality results. This position requires an understanding of music theory and structure to accurately classify and annotate a variety of musical elements. Given the role's impact on our music models, we are looking for someone with exceptional musical taste.

Who you are

We're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You’ll strive with us if you: 

  • Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech.  

  • Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead. 

  • Are analytical, efficient, and strive on solving complex challenges with a first principles mindset. 

  • Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations.

  • Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside.

What you bring

You have an expert ear and an innate ability to distinguish standout tracks. Combined with your passion for music and technology, you’re keen to help shape the future of AI.

  • Comprehensive genre knowledge: Familiarity with various music genres, styles, and subgenres.

  • Expertise in musical structure and emotion: Identifying instruments, timbres, moods, and themes in music.

  • Strong understanding of music theory: Knowledge of keys, scales, chords, tempo, and time signatures.

  • Proficiency in reading music notation: Ability to interpret standard music scores and transcriptions.

  • Sharp ear for pitch and melody: Recognizing intervals, melodic patterns, and musical phrasing with accuracy.

What we offer

  • High-velocity innovation: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.

  • A truly global team: Collaboration with teammates across 30+ countries, a global customer footprint and office hubs in New York, London and Warsaw. Annual company offsite for the whole team to get together (the last one in Croatia!) 

  • Remote first: We prioritize your talent, not your location, with structured asynchronous workflows for maximum impact and minimal meetings.

  • Continuous growth: Collaborate with AI leaders, shape your path, and contribute where you excel most.

#LI-remote

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About The Company

Overview

ElevenLabs is an AI Audio research and deployment company. 


Our research team develops AI Audio models that generate realistic, versatile and contextually-aware speech and sound effects. Our product team makes these models accessible for everyday users, prosumers, and businesses to create & localize content. 


Our technology is used to voice audiobooks and news articles, animate video game characters, help in film pre-production, automate localization processes in entertainment, create dynamic audio content for social media and advertising, and train medical professionals. It has also given back voices to those who have lost them and helped individuals with accessibility needs in their daily lives.


For more information, visit www.elevenlabs.io

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