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Data Operations
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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 tech and AI names and are looking for ambitious individuals to help push the boundaries of voice AI. The Data Ops Team works closely with Research to answer questions about data needed to train outstanding AI audio models. This role involves end-to-end management of new data labelling projects, coordinating internal and external resources, implementing QC processes, scaling in-house workforce, and using analytics tooling to improve operations. ElevenLabs values technical excellence, ethical awareness, and human impact, and offers a remote-first work environment with high-velocity innovation, global collaboration, and continuous growth opportunities.
This role is remote, so it can be executed globally. If you prefer, you can work from our offices in New York, London and Warsaw.
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
Our Data Ops Team works closely with Research to answer 2 basic questions:
What data do we need to train outstanding AI audio models?
How can we get it?
In Data Ops, these are some of the open-ended, high-impact challenges you’d be working on:
End-to-end management of new data labelling projects, including:
Working directly with Research to translate new ideas into clear labelling guidelines and dataset structures
Coordinating internal and external data labelling resources to deliver projects on time
Implementing QC and review processes to ensure our datasets are high-quality
Scaling our in-house data labelling workforce and operations
Using analytics tooling and your problem-solving skills to constantly improve how we operate
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
We don’t require any formal experience, certifications, or degrees. Instead, we’re looking for someone with:
Strong attention to detail – data is all about the details; we expect you to craft clear project guidelines together with Research and build processes to ensure our data meets them
People skills – you will interact with Researchers, external service providers, and a large number of data labellers and labelling managers; you should feel comfortable providing feedback and keeping large teams moving along to meet deadlines
Bonus points for:
Prior experience running large-scale data labelling projects for a FAANG/similar company, AI research lab, or data labelling platform
Python skills
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
