Remote 3D Geospatial Data Annotator (LiDAR)

Label-Your-Data; Rzeszów; On-site; PLN 89,000 - 134,000; Full time

Benefits offered by this job

Competitive compensation in USD

Job summary

Label Your Data is seeking a detail-oriented Data Annotator to help map electrical distribution networks for a cutting-edge 3D digital twin project. You will reconstruct grids from LiDAR and GIS data and place 3D objects to match real-world layouts.

Working fully remotely with Kyiv time business hours, you will label drone imagery to identify grid components and defects, while learning from feedback and growing with the team in a rapidly evolving AI-enabled field.

Qualifications

• 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).

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).

Job description

Label Your Data is seeking a detail-oriented Data Annotator to help map electrical distribution networks for a cutting-edge 3D digital twin project. You will reconstruct grids from LiDAR and GIS data and place 3D objects to match real-world layouts.

Working fully remotely with Kyiv time business hours, you will label drone imagery to identify grid components and defects, while learning from feedback and growing with the team in a rapidly evolving AI-enabled field.