Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль с понятной зоной ответственности на руководящем уровне в сфере AI-операций с данными, но работодатель не назван, а сведений о компании мало, поэтому проверить предложение сложнее.
Работодатель скрыт
Работа с AI-данными
Понятная зона ответственности
Развитие в роли
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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