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Data Operations

United Kingdom · Job Posted March 20, 2026
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Job Description

Our Data Ops team partners with Research to answer two core questions: What data do we need to train outstanding AI audio models — and how do we source and scale it effectively?

Job Responsibility

  • Own the end-to-end lifecycle of data acquisition and labeling operations
  • Translate research needs into clear data specifications and labeling workflows
  • Manage external data vendors
  • Ensure datasets are delivered on time and to high quality standards
  • Oversee both in-house and third-party labeling teams — setting guidelines, prioritizing work, implementing QC processes, and monitoring throughput and performance
  • Help scale our operations by improving tooling and processes
  • Support the hiring, training, and development of a high-performing labeling workforce

Requirements

  • Passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech
  • Highly motivated and driven individual with a strong work ethic
  • 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
  • Strong attention to detail
  • People skills – comfortable providing feedback and keeping large teams moving along to meet deadlines

Nice to have

  • 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

  • Innovative culture
  • Growth paths
  • Learning & development: annual discretionary stipend
  • Social travel: annual discretionary stipend to meet up with colleagues
  • Annual company offsite
  • Co-working: monthly co-working stipend

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