Назад
2 дня назад

Policy & Quality Specialist (AI)

152 000 - 160 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
c1
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

Policy & Quality Specialist (AI): Serving as the operational backbone for labeling policy programs by translating complex machine learning requirements into scalable labeling instructions with an accent on data quality and operational excellence. Focus on driving rapid policy iteration, managing vendor labeling teams, and creating golden datasets to accelerate perception engineering velocity.

Location: Must be based in Mountain View, California (On-site)

Salary: $152,000—$160,000 USD

Company

Waymo is an autonomous driving technology company dedicated to building the world's most trusted driver to improve mobility and safety.

What you will do

  • Collaborate with perception engineers to translate machine learning requirements into precise labeling policies.
  • Speed up labeling queue setup by creating golden datasets and executing rapid policy iterations.
  • Provide technical guidance and operational direction to vendor labeling teams.
  • Coordinate with regional specialists to capture and validate edge cases and local driving nuances.
  • Monitor labeling pipelines and build automated tools to identify data quality trends.
  • Act as the primary interface between engineering requesters and operations to resolve escalations.

Requirements

  • 4-5+ years of experience in data analysis, operations, or program management within ML data annotation or human-in-the-loop workflows.
  • Demonstrated ability to work independently on operational workflows and manage vendor squads.
  • Practical knowledge of dataset curation, labeling pipelines, and data quality control metrics.
  • Analytical aptitude with experience using tools or scripts to diagnose pipeline issues.
  • Must be able to work on-site in Mountain View, California.

Nice to have

  • Experience with scripting languages like Python or SQL.
  • Familiarity with prompt engineering and evaluation of model outputs.
  • Experience collaborating with software engineering stakeholders.

Culture & Benefits

  • Participation in discretionary annual bonus program.
  • Equity incentive plan.
  • Generous company benefits program.

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