Data Annotator for Geospatial
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Are you someone who notices the little things others might miss? Do you have a natural curiosity about the AI industry and how machine learning actually works? If so, this could be the perfect opportunity for you
Join us as a Data Annotator working on a cutting-edge 3D digital twin project. You will help map and reconstruct electrical distribution networks to help prevent power grid failures and manage critical infrastructure worldwide.
What you’ll be doing:
- 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).
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).
Will be a plus:
- Any basic understanding of power grids (poles, transformers, wires) or prior experience with LiDAR data.
What we offer:
- Full-time schedule (9 hours/day, including a 1-hour lunch break);
- Standart 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.
Who are we?
Data is the most vital resource for next-generation spatial engineering and AI applications.
Label Your Data has been providing high-quality, secure, and flexible data annotation services across various global industries since 2020. Grab your chance to join us on this innovative 3D digital twin project,
Visit our website: https://labelyourdata.com/
*We celebrate diversity and are proud to be an equal opportunity employer.