Data Annotator for Geospatial / LiDAR project

Label Your Data

1d•Remote

About The Position

This role is for a Data Annotator on a project focused on geospatial data and AI, specifically for building digital 3D models of power grids and other critical infrastructure. These models are used by energy companies for network analysis, risk prediction, and maintenance planning through AI and physics-based simulations. The Data Annotator will reconstruct electrical distribution networks in 3D by integrating LiDAR point cloud data, GIS maps, and drone imagery, contributing to the accuracy of these digital twins.

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)

Nice To Haves

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

Responsibilities

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