Head of Quality Assurance Operations

Description

About the company the company is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human—it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where the company comes in.

In less than a year, we’ve brought on most FAANG companies and AI labs as customers.

Our team is sharp, humble, ambitious, and tight-knit. We’re looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI.

About our Data Operations team Our Data Operations team powers the company's Data Factory, transforming raw audio into high-quality training datasets for leading AI labs. Our mandate is to spin up new data pipelines and run them at a massive scale. This means starting from a model capability we want a model to unlock, experimenting with different shapes of data and collection strategies, and validating them with researchers. Once an approach works, we industrialize it, building pipelines that can process audio with reliability, quality, and efficiency. We are relentless operators who thrive in ambiguity, equally comfortable prototyping novel workflows as we are managing large-scale production systems.

About this role As Head of Quality Assurance Operations, you'll own quality for every dataset the company ships including but not limited to conversational, TTS, and transcription data, and manage the company’s relationships with the global contingent workforce, comprising independent contractors and vendor-supplied contributors. You'll report to the Head of Operations and be located in the US.

In this role, you will

Own the quality bar across all data ops, including quality standards, calibration, consistency and on-time delivery of datasets

Design the quality review structure, organized by language and region, so every dataset gets consistent quality coverage

Audit and review the quality of delivered work product across languages, keeping quality benchmarks consistent globally

Run quality in languages you don't speak through deliverables from native-speaker and cross-language gold sets

Plan capacity against production ramps and own contingent workforce sourcing across many countries, ensuring each engagement is structured and classified correctly under local law

Build and own dashboards for quality, throughput, and cost efficiency

Manage the company’s relationships with staffing vendors, service providers, and employer-of-record partners

Your background looks like

7 to 10+ years in operations, including 3+ in senior leadership roles

You've run quality operations for large contingent workforce networks across multiple countries

You've owned quality at scale, across calibration, capacity planning, and spend efficiency

You built the system yourself, from tooling to contingent workforce sourcing at scale

Speech, audio, or linguistic data experience is a strong plus

Experience: 5+ years

Visa: US citizen/visa only