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- Tasks: Manage data labeling projects and collaborate with researchers to create clear guidelines.
- Company: Join a global team innovating in audio AI with offices in New York, London, and Warsaw.
- Benefits: Enjoy remote-first work, minimal meetings, and an annual company offsite in exciting locations.
- Why this job: Be part of a high-impact team solving complex challenges in the evolving audio AI landscape.
- Qualifications: Strong attention to detail, people skills, and a passion for audio AI are essential.
- Other info: Bonus points for experience in large-scale data projects and Python skills.
The predicted salary is between 36000 - 60000 £ per year.
Our Data Ops Team works closely with Research to answer 2 basic questions:
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What data do we need to train outstanding AI audio models?
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How can we get it?
In Data Ops, these are some of the open-ended, high-impact challenges you’d be working on:
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End-to-end management of new data labelling projects, including:
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Working directly with Research to translate new ideas into clear labelling guidelines and dataset structures
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Coordinating internal and external data labelling resources to deliver projects on time
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Implementing QC and review processes to ensure our datasets are high-quality
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Scaling our in-house data labelling workforce and operations
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Using analytics tooling and your problem-solving skills to constantly improve how we operate, * High-velocity innovation: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
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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!)
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Remote first: We prioritize your talent, not your location, with structured asynchronous workflows for maximum impact and minimal meetings.
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Continuous growth: Collaborate with AI leaders, shape your path, and contribute where you excel most.
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:
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Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech.
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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.
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Are analytical, efficient, and strive on solving complex challenges with a first principles mindset.
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Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations.
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Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside., * 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
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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
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Bonus points for:
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Prior experience running large-scale data labelling projects for a FAANG/similar company, AI research lab, or data labelling platform
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Python skills
Data Operations employer: Elevenlabs
Contact Detail:
Elevenlabs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Operations
✨Tip Number 1
Familiarize yourself with the latest trends in audio AI and data labeling. Understanding the current landscape will help you engage in meaningful conversations during interviews and demonstrate your passion for the field.
✨Tip Number 2
Showcase your problem-solving skills by preparing examples of how you've tackled complex challenges in previous roles. Be ready to discuss your thought process and the impact of your solutions.
✨Tip Number 3
Highlight your experience with project management and collaboration tools. Since the role involves coordinating teams and managing projects, being proficient in these tools will set you apart.
✨Tip Number 4
Prepare to discuss your approach to quality control and ensuring high standards in data projects. Having a clear strategy for maintaining quality will resonate well with our team's commitment to excellence.
We think you need these skills to ace Data Operations
Some tips for your application 🫡
Understand the Role: Make sure you fully grasp the responsibilities of the Data Operations position. Highlight your understanding of data labelling projects and how they contribute to AI audio models in your application.
Showcase Relevant Experience: Emphasize any prior experience you have with data labelling, project management, or working in AI environments. If you've worked with large-scale projects or have Python skills, make sure to mention these prominently.
Highlight Soft Skills: Since this role involves collaboration with various teams, showcase your people skills. Provide examples of how you've successfully communicated and coordinated with different stakeholders in past projects.
Express Your Passion: Convey your enthusiasm for audio AI and your motivation to make content accessible. Share any personal projects or experiences that demonstrate your commitment to innovation and ethical awareness in technology.
How to prepare for a job interview at Elevenlabs
✨Understand the Role and Responsibilities
Make sure you have a clear understanding of the Data Operations role. Familiarize yourself with the end-to-end management of data labeling projects, and be ready to discuss how you would translate research ideas into actionable guidelines.
✨Showcase Your Problem-Solving Skills
Prepare examples that demonstrate your analytical thinking and problem-solving abilities. Discuss how you've tackled complex challenges in the past, especially in relation to data management or AI projects.
✨Highlight Your Attention to Detail
Since data quality is crucial, be prepared to talk about your experience in crafting project guidelines and ensuring high-quality datasets. Share specific instances where your attention to detail made a significant impact.
✨Demonstrate Strong People Skills
You will be interacting with various stakeholders, so it's important to convey your ability to communicate effectively. Share experiences where you successfully collaborated with teams or provided constructive feedback to keep projects on track.
