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3 дня назад

Quality Specialist (Spatial AI)

45 000 - 65 000$
Формат работы
remote (только USA)
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

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TL;DR
Quality Specialist (Spatial AI): Curating benchmark datasets, defining annotation standards, and auditing computer-vision data with an accent on ground-truth quality, annotator certification, and 2D/3D labeling. Focus on monitoring annotation drift, adjudicating edge cases in large video datasets, and building quality systems for passive inventory tracking.

Location: United States; remote

Salary: $45,000–$65,000 USD per year plus equity

Company

hirify.global develops spatial computing solutions that use AI and wearable technology to convert physical retail spaces into dynamic digital environments with real-time 3D mapping and inventory data.

What you will do

  • Curate and maintain golden datasets and ground-truth benchmarks for annotator certification, vendor scoring, and pipeline drift measurement.
  • Create and update training materials and certification tests measuring annotation precision and speed.
  • Evaluate annotators against benchmark data, monitor quality drift, and support QA metrics and scoring models.
  • Conduct double-blind quality audits across computer-vision datasets.
  • Handle critical production labeling needs as a high-trust annotator.
  • Collaborate with Computer Vision and Data Operations teams to define and improve the quality pipeline.

Requirements

  • 2+ years of experience in data annotation and quality assurance, including reviewing and calibrating other annotators’ work.
  • Experience with Encord or an equivalent enterprise annotation platform such as CVAT, Labelbox, or SuperAnnotate.
  • Experience with complex 2D and 3D annotation, including bounding boxes, polygons, and masks.
  • Exceptional attention to detail and judgment when identifying and adjudicating out-of-stock products and edge cases in large video datasets.
  • Strong verbal and written communication skills for documenting standards and justifying quality decisions.
  • Ability to collaborate across global, cross-functional teams.

Nice to have

  • Experience working with computer-vision datasets or spatial AI systems.

Culture & Benefits

  • Remote-first work environment focused on transparency, speed, and precision.
  • Opportunity to contribute to a venture-backed startup scaling globally.
  • Medical, dental, and vision benefits.
  • 401(k) benefits.
  • Equity participation.

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