обновлено 8 дней назад
Operations Specialist (AI)
55 000 - 75 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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