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5 дней назад

Data Services Analyst II, Labeling (Automotive)

Формат работы
onsite
Тип работы
project
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 Services Analyst II, Labeling (Automotive): Producing and reviewing high-quality labels for sensor data from an autonomous vehicle fleet with an accent on quality assurance, error trend analysis, and labeling-tool evaluation. Focus on identifying data discrepancies, reporting tooling deficiencies, mentoring labeling staff, and supporting the continuous improvement of automated driving models.

Location: Pittsburgh, PA, United States. This is a 12-month contract role.

Company

hirify.global, a Ford Motor Company subsidiary, develops automated driving and hands-free advanced driver assistance technologies.

What you will do

  • Perform high-quality labeling and quality assurance work on sensor data from the Latitude fleet.
  • Identify error trends, data discrepancies, bugs, and labeling quality concerns.
  • Contribute to training, labeling policies, tool testing, and specialized projects.
  • Provide feedback and mentorship to new team members and third-party labeling teams.
  • Create slide decks and clarification documents with visual examples.
  • Escalate quality issues and demonstrate deficiencies in labeling tools.

Requirements

  • High school diploma or GED equivalent and two years of employment experience.
  • Experience with Google Workspace, Microsoft Office, or similar productivity tools.
  • Strong written and verbal communication skills.
  • High attention to detail and the ability to maintain prolonged focus while reviewing large volumes of data.
  • Ability to clearly report tool bugs, sample-data issues, and labeling trends.

Nice to have

  • Associate or bachelor’s degree.
  • Basic knowledge of Jira or similar workflow management tools.
  • Basic knowledge of Confluence or similar wiki platforms.
  • Experience at a self-driving company.
  • Interest in autonomous vehicle technology.

Culture & Benefits

  • Work alongside specialists in machine learning, robotics, cloud platforms, mapping, sensors, vehicle systems, and safety engineering.
  • Contribute to an in-house automated driving platform developed for Ford.
  • Work in a fast-paced environment focused on improving vehicle safety and performance.
  • The contract lasts 12 months.

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