Data Annotator for Geospatial / LiDAR project

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NieokreśloneFull-time
#433080·Dodano 2 dni temu·0
Źródło: Label Your Data
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Tech Stack / Keywords

AIMachine LearningNetworksCloud

Firma i stanowisko

Label Your Data is a global data annotation company supporting AI teams with high-quality, secure, and scalable annotation services for Computer Vision and NLP. The company has a diverse team across Europe, LATAM, and Africa and maintains a 98%+ annotation accuracy benchmark in over 20 industries such as Automotive, Robotics, Healthcare, E-commerce, Agriculture, Retail, and Fintech. It supports 55+ languages and complies with GDPR, HIPAA, CCPA, and holds ISO/IEC 27001:2013 and PCI/DSS certifications, ensuring high data security and confidentiality. The company offers services including image & video annotation, text annotation, audio annotation, sensor data annotation, data classification, data entry, and model validation and QA.

Wymagania

  • Background in GIS, Geodesy, Cartography, Land Management, Civil Engineering, or related field
  • Strong spatial reasoning and ability to navigate 3D environments
  • English proficiency at B2 level for reading instructions, training videos, and communication
  • High attention to detail and problem-solving skills
  • PC/laptop with Intel i7-11800H or equivalent/better CPU, dedicated GPU (NVIDIA T1200 or better; RTX 4060 recommended), and minimum 16 GB RAM (32 GB preferred)

Nice to have:

  • Basic understanding of power grids (poles, transformers, wires) or prior experience with LiDAR data

Obowiązki

  • Reconstruct 3D power grid networks using point cloud (LiDAR) and map (GIS) data
  • Place 3D objects such as poles, lines, and conductors to match real-world layouts
  • Align original 2D map data with 3D models
  • Label high-resolution drone photos to identify grid components and detect structural defects such as equipment damage or wear

Benefity

  • Full-time schedule (9 hours/day including a 1-hour lunch break)
  • Standard business hours 09:00/10:00 to 18:00/19:00 Kyiv time
  • Fully remote work
  • Supportive management with no bureaucracy
  • Competitive compensation in USD
  • Opportunities for long-term professional growth
Label Your Data

Label Your Data

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