Data Operations @ ElevenLabs

1 day ago

Remote Warsaw, Czech Republic ElevenLabs Full time
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

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?
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.
,[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] Requirements: Python, Python

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