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Data Operations
Eleven Labs
posted 4d ago
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Job Description
- 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 o 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
- Were 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
Employment Type: Full Time, Permanent
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