Label Your Data

Data Annotator for Geospatial / LiDAR project

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NieokreśloneZdalnie·WrocławFull-time

#433080·Dodano miesiąc temu·9

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

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