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David AI

AI dataset marketplace with bounty system

Head of Quality Assurance Operations

AI & Machine LearningUpdated on Nov 14
Full-timeRemote in USA$175k - $225k /yr

About the Job

Requirements

  • At least 7 years of experience in operations, including at least 3 years in senior leadership roles.
  • Experience running quality operations for large contingent workforce networks across multiple countries.
  • Experience owning quality at scale, including calibration, capacity planning, and spend efficiency.
  • Experience building systems from tooling through contingent workforce sourcing at scale.

Responsibilities

  • Own the quality bar across all data operations, including quality standards, calibration, consistency, and on-time delivery of datasets.
  • Design the quality review structure, organized by language and region, to ensure consistent quality coverage for every dataset.
  • Audit and review delivered work product across languages while keeping quality benchmarks consistent globally.
  • Run quality operations in languages not spoken by using 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 relationships with staffing vendors, service providers, and employer-of-record partners.

Desired Qualifications

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

About the Company

David AI

AI dataset marketplace with bounty system

David AI runs a specialized data marketplace for AI applications. It connects AI model developers with data providers, allowing them to exchange high-quality datasets. The platform uses a bounty system: developers request datasets or data services, and providers claim bounties or list their datasets in a catalog. Revenue comes from transaction fees and possible premium subscriptions, with an emphasis on ensuring data quality, clear data rights, and fair pay for providers. The goal is to make it easier to obtain diverse, well-captioned datasets that improve AI model training and performance.

Company size
51-200
Company stage
Series B
Total funding
$75.1M
Headquarters
San Francisco, CA
Founded
2024

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