Data Annotator – Geospatial, LiDAR

Label Your Data – Data Annotation & Labeling

. Reconstruct 3D power grid networks using point cloud (LiDAR) and map (GIS) data .

Posted 10/22/2026full-timeRemote • ArmeniaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in reconstructing 3D power grid networks using LiDAR and GIS data, with strong spatial reasoning and attention to detail. Capable of contributing to the development of digital twins for energy companies through AI and physics-based simulations.

Highest-signal resume keywords

3D Power Grid ReconstructionLiDAR Data AnalysisGIS MappingSpatial ReasoningAttention to Detail

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

3D ModelingPoint Cloud ProcessingData LabelingStructural Defect DetectionDigital Twin Development

Soft Skills

Problem-SolvingWillingness to LearnTeam Communication

Tools & Technologies

Intel i7-11800HNVIDIA T1200RTX 406016 GB RAM32 GB RAM

Industry Keywords

Power GridsGeodesyCartographyLand ManagementCivil Engineering

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

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
Contribute to accurate and reliable digital twins that help energy companies analyze network conditions, predict risks, and plan maintenance using AI and physics-based simulations

Requirements

What you’ll need

Strong spatial reasoning and the ability to easily navigate 3D environments
English B1 (ability to read instructions, watch training videos, and communicate with teammates)
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)
Any basic understanding of power grids (poles, transformers, wires) or prior experience with LiDAR data is a plus
Background in GIS, Geodesy, Cartography, Land Management, Civil Engineering, or a related field is a plus

Benefits

Comp & perks

Full-time schedule (9 hours/day, including a 1-hour paid lunch break)
Fully remote work
Competitive compensation in USD
Opportunities for long-term professional growth
Supportive management with no bureaucracy