Label Your Data
via Workable
Data Annotator for Geospatial / LiDAR project
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 18h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 33d ago
The date the source published, not the day we noticed it (2026-08-13). Last seen at its source 2h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Ukraine
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay £74k–98.8k/yr
Middle 50% of 12 listings that do state pay — Operations · all levels · EMEA · GBP/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 10d ago · last seen 2h ago
The listing
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, and send us your CV in English highlighting your spatial and technical skills.
Visit our website: https://labelyourdata.com/
*We celebrate diversity and are proud to be an equal opportunity employer.