7 to 10+ years in operations, with 3+ years in senior leadership roles
Experience managing quality operations for large, multi-country contingent workforce networks
Proven track record in quality management at scale, including calibration and capacity planning
Hands-on experience building systems for tooling and workforce sourcing
Familiarity with speech, audio, or linguistic data is a strong advantage
Responsibilities
Own the quality standards and ensure on-time delivery of datasets
Design a structured quality review process organized by language and region
Audit and maintain quality consistency across multiple languages
Manage quality assurance for languages without direct proficiency using native speaker inputs
Plan production capacity and oversee sourcing of contingent workforce globally
Develop and maintain dashboards for monitoring quality, throughput, and cost efficiency
Benefits
Opportunity to lead quality operations in a cutting-edge AI environment
Work with a diverse, global team across multiple languages and regions
Engage in innovative projects that shape the future of AI training datasets
Access to professional development and growth opportunities
Flexible work arrangements with a focus on results
Full Job Description
About our Data Operations teamOur Data Operations team powers David AI'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 roleAs Head of Quality Operations, you'll own quality for every dataset David AI ships including but not limited to conversational, TTS, and transcription data. 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 quality across languages, keeping calibration 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
Build and own dashboards for quality, throughput, and cost efficiency
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
