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21 час назад

AI Data Operations Manager

110 000 - 145 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
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
AI Data Operations Manager (AI/ML): Managing project managers and data operations for LLM training and evaluation with an accent on KPI-driven performance, quality control, and contractor workforce management. Focus on scaling annotation workflows, optimizing throughput, and improving software processes for enterprise-grade AI data delivery.

Company

hirify.global is a leading AI and machine translation company that combines cutting-edge AI with human-in-the-loop expertise to make information accessible globally.

What you will do

  • Manage a team of project managers to ensure programs hit on-time delivery and quality targets.
  • Oversee the hiring, onboarding, and development of the project management pool to keep pace with demand.
  • Implement quality interventions mid-program to catch and correct dips in performance.
  • Standardize processes and contribute to software improvements based on program post-mortems.
  • Manage escalations and cross-functional interfaces between Quality, Talent, and Delivery teams.

Requirements

  • Must be based in or able to work from Boston, MA; New York, NY; or Washington D.C.
  • 5+ years in AI/ML data operations or production, with 2+ years of direct people management experience.
  • Strong understanding of LLM training processes (pre-training, SFT, RLHF) and evaluation methodologies.
  • Proven track record of running teams against throughput, quality, and cost-per-task targets.
  • Advanced proficiency with spreadsheets, dashboards, and SQL for performance analysis.
  • Experience managing complex workflows using Agile, Scrum, or Kanban methodologies.

Nice to have

  • Fluency in multiple human languages.
  • Experience with multilingual data deliveries, especially in rare-resource languages.
  • Familiarity with data annotation platforms like Label Studio or SuperAnnotate.
  • Background in ML engineering, computer science, or data science.

Culture & Benefits

  • Opportunity to work at a category-defining company backed by Sequoia and Intel Capital.
  • Access to leading AI tools and global collaboration opportunities.
  • Commitment to a fair, inclusive, and transparent hiring process.
  • Focus on professional growth and high-impact work in the AI translation market.

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