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4 дня назад

Video Data Annotation Team Lead (AI)

Формат работы
hybrid
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

Текст:
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TL;DR
Video Data Annotation Team Lead (AI): Building and managing a video annotation team that reviews traffic footage and identifies potential violations with an accent on reviewer coaching, quality control, and consistent guideline application. Focus on resolving ambiguous traffic events, detecting recurring annotation errors, improving workflows, and maintaining high team accuracy and productivity.

Location: Salt Lake City, United States; hybrid office-based role

Company

hirify.global develops solar-powered, AI-assisted cameras that automate traffic-law enforcement and improve pedestrian and road safety.

What you will do

  • Serve as the day-to-day point person for the Salt Lake City video annotation team and collaborate with the California office.
  • Onboard and train annotators on tools, workflows, quality standards, escalation processes, and documentation.
  • Coach reviewers on accuracy, productivity, and consistency while providing direct, actionable feedback.
  • Review difficult or ambiguous traffic events, conduct quality checks, and identify recurring errors or training needs.
  • Monitor workloads and queues, flag capacity or performance issues, and escalate operational problems and unclear guidelines.
  • Review and annotate video footage, verify extracted information, and help test process and tooling improvements.

Requirements

  • 2–5 years of experience in data annotation, quality assurance, operations, trust and safety, content review, compliance operations, or another high-volume, detail-oriented environment.
  • Prior leadership experience as a team lead, senior individual contributor, trainer, QA specialist, or informal mentor.
  • Exceptional attention to detail and the ability to make sound judgment calls in ambiguous situations.
  • Ability to provide constructive feedback and hold teammates accountable for quality and productivity.
  • Strong written and verbal communication skills.
  • Ability to learn new tools quickly and work effectively in technology-driven workflows.

Nice to have

  • Experience with data labeling, AI/ML operations, video review, regulated workflows, or public safety.
  • Startup experience and an interest in improving rapidly evolving processes.

Culture & Benefits

  • Work focused on reducing reckless driving and improving road safety.
  • Fast-moving Series A startup environment with meaningful ownership.
  • Competitive compensation and early-stage equity.
  • Backed by Bain Capital Ventures and Khosla Ventures.

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