RAVE I, Data Enrichment

• You will make cartographic edits in OpenStreetMap or contribute to enrichment of map data by using specialized tools
• You will detect and mark different objects on images according to needed requirements
• You will analyze, classify, and sort large volumes of data (e.g., up to several tens of thousands of images or map features per week)
• You will annotate images in specialized tools and editors for creating machine learning (ML) training data in big volumes
• You will validate and edit large volumes of data, create various content for our map and navigation services and products
• Proficiency in English, ability to communicate clearly in written and verbal communication, and ability to read and write documentation (A2+ and above). Please, indicate the level of English proficiency in your CV
• Ability to execute monotonous work in large volumes on a high level of personal efficiency
• Ability to stay focused on repetitive work during a working day, keeping high quality and accuracy of data processing
• Presence of logic, ability to reason and act independently
• Analytical mindset and ability to identify common patterns in large volumes of information
• Resistant to stress in a rapidly changing situation
• A quick learner, ability to switch between projects with different workflows or instructions, multi-tasking
• Ability to work in a team and high communicative skills
• Ability to work from the office for the first three months during the probation period
• General knowledge of traffic rules for qualitative analysis of traffic situations and modeling driver behavior or use cases (ideally, a driving license or completed driving school)
• Understanding OpenStreetMap service and an interest in cartography (if you have an account with OSM edits, please specify in your CV)
• Experience working in GIS, cartography, or geodesy
• Experience working in IT-sphere or completed IT-courses for understanding communication culture and processes in high-technology international company
• Interest in developing their skills and expanding their competencies within the working domain

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