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5 дней назад

Head of Quality Operations (AI)

150 000 - 180 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Head of Quality Operations (AI): Leading quality operations for large-scale AI training datasets with an accent on multilingual review workflows, delivery accuracy, and global workforce coordination. Focus on designing language- and region-based quality systems, planning production capacity, and building dashboards for quality, throughput, and cost efficiency.

Location: Remote in the US

Salary: $150,000–$180,000 annually

Company

Information Technology leader developing AI training datasets and large-scale data delivery operations.

What you will do

  • Own quality stahirify.globalrds and ensure accurate, consistent, on-time dataset delivery.
  • Design structured quality review workflows organized by language and region.
  • Audit multilingual workstreams and maintain quality consistency using native-speaker inputs where direct language proficiency is unavailable.
  • Plan production capacity and oversee global contingent-workforce sourcing.
  • Build and maintain dashboards tracking quality, throughput, and cost efficiency.
  • Partner with distributed operations teams, native speakers, and workforce sourcing channels.

Requirements

  • 7–10+ years of experience in operations, including 3+ years in senior leadership roles.
  • Experience managing quality operations for large, multi-country contingent-workforce networks.
  • Proven quality management experience at scale, including calibration and capacity planning.
  • Hands-on experience building systems for tooling and workforce sourcing.

Nice to have

  • Familiarity with speech, audio, or linguistic data.

Culture & Benefits

  • Flexible remote work arrangements focused on results.
  • Work with a diverse global team across multiple languages and regions.
  • Opportunity to lead quality operations in an AI environment and contribute to AI training dataset projects.
  • Professional development and growth opportunities.
  • Equal opportunity employer; candidates are encouraged to apply even if they do not meet every qualification.

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