Назад
Company hidden
1 день назад

Video Annotation Specialist (In-Cabin Data / ADAS Domain)

46 667 - 56 667SEK
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Sweden
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Video Annotation Specialist (In-Cabin Data / ADAS Domain): Validate and correct annotated in-cabin video data for machine learning workflows with an accent on temporal sequences, object detection, and behavioral analysis. Focus on ensuring labeling consistency across frames, identifying ambiguities, and maintaining high-quality datasets for automotive perception systems.

Location: Gothenburg

Salary: From 46,667 SEK to 56,667 SEK

Company

hirify.global is an independent technology consulting firm with 7,600 people across 60 countries, focusing on Information System & Digital, Telecom, Life Sciences, and Engineering.

What you will do

  • Review and annotate dynamic video sequences using annotation tools
  • Validate and correct pre-annotations based on video content
  • Ensure labeling consistency across frames and long sequences
  • Identify missing, incorrect, or ambiguous annotations
  • Follow detailed annotation guidelines and quality standards
  • Support quality assurance for ML training datasets

Requirements

  • English: Fluent
  • 4 years experience in video data annotation (temporal/dynamic labeling)
  • Strong understanding of object detection concepts
  • Experience with annotation tools (e.g., CVAT, Supervisely, or similar)
  • Ability to interpret annotation guidelines independently
  • Familiarity with multi-object tracking, pose estimation, or activity recognition
  • Strong quality mindset and attention to detail
  • Experience with in-cabin or behavioral labeling (drowsiness, distraction indicators)

Nice to have

  • Understanding of ADAS cabin sensing (DMS/OMS use cases)
  • Experience with large-scale video datasets and data pipelines
  • Consistency management across long video sequences and multiple vehicles
  • Familiarity with dataset versioning and structured data workflows
  • Basic Python scripting skills
  • Basic SQL knowledge
  • Exposure to Docker / Kubernetes
  • Experience with video synchronization tools (multi-camera setups)

Culture & Benefits

  • International community with 110+ nationalities
  • Trust-based environment where 70% of key leaders started at entry level
  • Robust training system with internal Academy and 250+ modules
  • Vibrant workplace with internal events (afterworks, team buildings)
  • Sustainability focus through WeCare Together program for social/environmental impact projects

Hiring process

  • Brief call to discuss motivations and fit
  • 3 interviews on average with line manager and team, covering experience, skills, and company culture
  • Possible case study: role play, technical assessment, or problem-solving scenario

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →