Назад
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3 дня назад

Data Quality Partner Lead (AI)

120 000 - 180 000$
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

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TL;DR

Data Quality Partner Lead (AI): Building and scaling hirify.global's external data annotation and review vendor network from scratch with an accent on strategic sourcing and vendor performance management. Focus on identifying BPOs and labeling firms, establishing quality benchmarks, and creating an operating model for large-scale partner management.

Location: San Jose, CA (5 days/week in-office collaboration required)

Salary: $120,000 – $180,000 annually

Company

AI Robotics company developing a general purpose humanoid for corporate tasks targeting labor shortages.

What you will do

  • Own the end-to-end external annotation and review vendor strategy, from sourcing to performance management.
  • Build a vendor pipeline by identifying and engaging BPOs, labeling firms, and crowdsourcing platforms.
  • Run structured evaluations, including pilots and quality benchmarking, to recommend scaling partners.
  • Translate internal data quality standards and methodologies into detailed vendor specifications.
  • Establish the operating model for managing partners at scale, including scorecards and escalation paths.

Requirements

  • 5+ years in vendor management, BPO/outsourcing partnerships, or strategic sourcing.
  • Proven track record of building or scaling a vendor function from an early stage.
  • Ability to deploy apps/agents using AI coding tools for internal dashboards and trackers.
  • Excellent written and verbal communication skills for managing external partners.
  • Ability to operate with ambiguity and manage multiple concurrent partner relationships.
  • Must be based in San Jose, CA for full-time onsite work.

Nice to have

  • Direct experience managing data annotation, labeling, or content review vendors.
  • Experience at a frontier AI lab, autonomous vehicle company, or similar data-heavy organization.
  • Passion for scaling the deployment of learning humanoid robots.

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