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Operations Specialist (AI)

55 000 - 75 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US/Philippines/Mexico
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Operations Specialist (AI): Managing complex data collection and annotation pipelines for frontier AI research with an accent on operational excellence, contributor management, and high-quality data delivery. Focus on building scalable operational processes, monitoring workforce performance, and optimizing feedback loops between customers and product teams.

Location: Mexico City, Mexico or Manila, Philippines; the posting also lists San Francisco, United States.

Compensation: $55,000–$75,000 per year.

Company

hirify.global provides human data services and Label Studio Enterprise for AI model development, including data collection, annotation, evaluation, and multimodal workflows.

What you will do

  • Build and drive operational processes that support customer delivery commitments.
  • Manage multiple Fellow or contributor programs, including onboarding, workflow coordination, and program health.
  • Maintain operational trackers and documentation to ensure consistent execution.
  • Monitor contributor engagement and identify retention or performance risks.
  • Create feedback loops across frontline operations, product, strategy, and customers.
  • Identify bottlenecks, recommend process improvements, and run pilots and experiments.

Requirements

  • 2+ years of experience in operations or at a top-tier consulting firm.
  • Undergraduate degree in Engineering, Economics, or another analytics-heavy field.
  • Strong analytical and process-improvement capabilities.
  • Proficiency in SQL or demonstrated analytical tooling skills.
  • Action-oriented approach with creative problem-solving and practical execution.

Nice to have

  • Experience in marketplace, logistics, or workforce platform operations.
  • Familiarity with Zendesk, Notion, or Airtable.
  • Exposure to AI/ML workflows, data annotation, or contributor management.
  • Entrepreneurial mindset and comfort in fast-moving, ambiguous environments.

Culture & Benefits

  • Work focuses on operationally complex, high-stakes AI data programs.
  • Responsibilities span distributed expert workforces across multiple knowledge domains, languages, and countries.
  • The environment emphasizes operational ownership, rigorous quality workflows, ethical sourcing, and data security.

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