Назад
3 дня назад

SD Map Editor, Data Enrichment (ML)

520 - 700$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
a2
Страна
Belarus
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Описание вакансии

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TL;DR
SD Map Editor, Data Enrichment (ML) (Map Data and Machine Learning): Validating, editing, classifying, and enriching large volumes of map and image data for navigation services with an accent on accurate annotation, cartographic editing, and machine learning training data. Focus on identifying objects in images, processing tens of thousands of images or map features weekly, and maintaining quality during repetitive workflows.

Location: Minsk, Belarus; hybrid work. Office attendance is required during the first three months of probation, with periodic office visits for team sprints.

Salary: $520–700 per month before taxes

Company

MapData’s Minsk R&D center develops map data and navigation services for people, packages, and vehicles using real-time data from sensors and phones.

What you will do

  • Validate and edit large volumes of data for map and navigation services.
  • Annotate images in specialized tools to create machine learning training data.
  • Detect and mark objects in images according to defined requirements.
  • Analyze, classify, and sort tens of thousands of images or map features per week.
  • Make cartographic edits in OpenStreetMap and enrich map data using specialized tools.

Requirements

  • English at A2 level or above, with the ability to communicate clearly and read and write documentation.
  • Ability to perform repetitive, high-volume work while maintaining accuracy and quality.
  • Logical and analytical thinking, pattern recognition, and independent decision-making.
  • Ability to stay focused, handle stress, learn quickly, switch between workflows, and multitask.
  • Strong teamwork and communication skills.
  • Ability to work from the office during the first three months of probation and attend periodic team sprints.

Nice to have

  • Knowledge of traffic rules, a driving license, or completed driving school.
  • Understanding of OpenStreetMap and an interest in cartography.
  • Experience in GIS, cartography, or geodesy.
  • IT experience or completed IT courses.

Culture & Benefits

  • Hybrid work format with structured office collaboration during onboarding and team sprints.
  • Opportunity to develop skills and expand competencies in data enrichment, cartography, and machine learning workflows.
  • Work in an international high-technology R&D environment.

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