Data Annotator – Geospatial, LiDAR

🔥 0 minutes ago

🇲🇩 Moldova – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⬇️ Data Entry

👻 Ghost score 10%

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Label Your Data – Data Annotation & Labeling

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2020

🚘 Automotive

🏥 Healthcare

🏭 Manufacturing

Automotive • Healthcare • Manufacturing

<Label Your Data – Data Annotation & Labeling> is a data annotation and labeling company that provides managed and self-serve platform services to prepare high-quality training datasets for machine learning and AI projects. They offer a wide range of annotation types—image, video, audio, text/NLP, 3D point cloud/LiDAR, medical imaging, GIS/geospatial, and content moderation—plus data collection, generation, entry, and LLM fine-tuning support. Label Your Data serves ML engineers, AI teams, product managers, and researchers across industries such as drones, autonomous vehicles, robotics, retail/e-commerce, healthcare, and finance, and emphasizes flexible pricing, tool-agnostic integrations, SLAs for quality, and free pilot projects.

📋 Description

• 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 such as equipment damage or wear • Contribute to accurate and reliable digital twins of power grids and critical infrastructure used for network analysis, risk prediction, and maintenance planning

🎯 Requirements

• Background in GIS, Geodesy, Cartography, Land Management, Civil Engineering, or a related field • Strong spatial reasoning and the ability to easily navigate 3D environments • English B2 (ability to read instructions, watch training videos, and communicate effectively) • High attention to detail, problem-solving skills, and a willingness to learn from feedback • PC/laptop with an Intel i7-11800H (or equivalent/better CPU), dedicated GPU (NVIDIA T1200 or better; RTX 4060 recommended), and 16 GB RAM minimum (32 GB preferred) • CV in English highlighting spatial and technical skills

🏖️ Benefits

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