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8 дней назад

Quality Lead (Gen AI)

134 400 - 168 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Quality Lead (Gen AI) (AI/data quality operations): Leading quality control for high-impact Generative AI programs, including multilingual post-training data and agentic RL environments, with an accent on team leadership, measurable quality standards, and scalable operations. Focus on analyzing defect patterns, translating customer requirements into quality signals, and building agentic capabilities for efficient quality control.

Location: San Francisco, CA; New York, NY. The posted salary range also references Seattle.

Base salary: $134,400–$168,000 USD annually.

Company

hirify.global develops reliable AI systems, high-quality data, and full-stack technologies for leading AI models and enterprise and government applications.

What you will do

  • Lead, hire, coach, and calibrate a large team of quality control specialists.
  • Translate customer requirements into measurable data-quality standards and signals with delivery teams.
  • Run daily quality operations, including workforce planning, capacity allocation, quality reporting, productivity measurement, and policy management.
  • Analyze quality trends, identify root causes, and elevate defect patterns for delivery-team action.
  • Lead strategic initiatives to hirify.global and optimize quality operations, including future agentic capabilities.
  • Hold delivery teams accountable across high-impact Generative AI programs, including multilingual post-training data and agentic RL environments.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Operations, or a related field.
  • 3+ years leading teams or scaling large operational or technical processes.
  • Strong analytical and problem-solving skills, particularly in SQL, with attention to detail.
  • Experience building systems, processes, and teams across multiple customer segments or product lines.
  • Hands-on background in product management, operations management, program management, or top-tier management consulting.
  • Proven initiative in cross-functional technical environments.

Nice to have

  • Master’s degree in Computer Science, Engineering, Operations, or a related field.
  • Experience in AI/ML services, data annotation, or model evaluation.
  • Experience in a fast-growing, less-structured startup environment.
  • Experience building teams from the ground up.

Culture & Benefits

  • Full-time employment with comprehensive health, dental, and vision coverage.
  • Retirement benefits, a learning and development stipend, and generous paid time off.
  • The role may include a commuter stipend and equity compensation for eligible roles.
  • Inclusive equal-opportunity workplace with reasonable accommodations available during the application and recruiting process.
  • A 90-day waiting period applies before reconsideration for the same role.

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