Data Operations

About the role

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?

In this role, you will own the end-to-end lifecycle of data acquisition and labeling operations. You’ll translate research needs into clear data specifications and labeling workflows, manage external data vendors, and ensure datasets are delivered on time and to high quality standards. You’ll oversee both in-house and third-party labeling teams — setting guidelines, prioritizing work, implementing QC processes, and monitoring throughput and performance.

You’ll also help scale our operations by improving tooling and processes, and by supporting 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. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead.
• Analytical, efficient, and strive on solving hard problems.