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Data Labeler - Music
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Job Location
Job Summary
ElevenLabs is a pioneering voice technology company that has reached over 1 million users globally. They are backed by leading names in tech and AI and are looking for ambitious people to help push the boundaries of voice AI. The company values curiosity, ownership, and a drive to improve. As a music data labeler at ElevenLabs, you will review audio assets, apply detailed descriptive labels, and enhance machine learning models to deliver high-quality results. You will work with a global team of passionate individuals who are united by curiosity and a shared goal: to be the first choice for AI audio solutions. With flexible remote work options and opportunities for continuous growth, ElevenLabs is an exciting place to join on its rise.
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.
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