Label Your Data

Data Annotator for Geospatial / LiDAR project

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NieokreśloneZdalnie·ŁódźFull-time

#433079·Dodano miesiąc 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 of annotation specialists across Europe, LATAM, and Africa, maintaining a 98%+ annotation accuracy benchmark across more than 20 industries including Automotive, Robotics, Healthcare, E-commerce, Agriculture, Retail, and Fintech. It supports 55+ languages and complies with GDPR, HIPAA, and CCPA, with ISO/IEC 27001:2013 and PCI/DSS certifications for data security. Its services include image and 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 B2 proficiency (reading instructions, training videos, effective communication)
High attention to detail, problem-solving skills, willingness to learn from feedback
PC/laptop with Intel i7-11800H (or equivalent/better CPU), dedicated GPU (NVIDIA T1200 or better; RTX 4060 recommended), and 16 GB RAM minimum (32 GB preferred)

Nice to have:

Basic understanding of power grids (poles, transformers, wires)
Prior experience with LiDAR data

Obowiązki

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

Benefity

Full-time schedule (9 hours/day including 1-hour lunch break)
Standard business hours 09:00/10:00 – 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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