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5 дней назад

Data Program Manager, AI/ML Delivery

140 000 - 150 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
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
Data Program Manager, AI/ML Delivery (AI/ML data operations): Owning client delivery of human data solutions, including annotation, labeling, and evaluation datasets for off-the-shelf AI/ML products, with an accent on cross-functional coordination, quality metrics, and client management. Focus on translating technical concepts, resolving delivery risks, analyzing datasets, and improving production workflows.

Location: Hybrid - New Jersey, United States

Salary: $140,000–$150,000 per year, based on experience, skills, and qualifications.

Company

hirify.global is a global data engineering company providing data, evaluation frameworks, platforms, services, and human expertise for Generative AI and other AI systems.

What you will do

  • Own client engagements from kickoff through completion, ensuring delivery on time, to specification, and to client expectations.
  • Build and manage human data solutions, including data annotation, labeling, and evaluation datasets for AI/ML products.
  • Coordinate data operations, analysts, subject-matter experts, and other internal teams.
  • Translate technical concepts for non-technical stakeholders and communicate business requirements to technical teams.
  • Manage priorities across multiple clients and projects while identifying and resolving delivery risks.
  • Use quality metrics, acceptance criteria, and dataset-level analysis to identify gaps and drive delivery improvements.

Requirements

  • Hybrid work in New Jersey, United States.
  • 4+ years of experience in technical program or project management, delivery management, or data operations within AI/ML, data annotation, or related technology domains.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Experience working in technical environments and managing cross-functional teams without direct authority.
  • Strong attention to detail, analytical skills, client management, communication, and risk management abilities.
  • Experience working with quality metrics, acceptance criteria, and dataset-level analysis.

Nice to have

  • Understanding of LLMs, model evaluation, benchmarking, data annotation, and AI/ML data production workflows.
  • Experience delivering datasets or evaluation assets to AI labs, research organizations, or ML engineering teams.
  • Exposure to benchmark and evaluation frameworks, annotation platforms, SME-driven data production, or RLHF workflows.
  • Working knowledge of Python, SQL, or analytics and BI tools.
  • PMP, Agile, or equivalent program management certification.

Culture & Benefits

  • Work at the intersection of client management, data operations, and AI/ML delivery.
  • Opportunity to contribute to process and delivery improvements as capacity allows.
  • Potential to build and lead a team as the practice scales.

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