Data Annotator for Geospatial / LiDAR Project
Label Your Data · Cahul
Job description
About the role
You will support the creation of digital 3D twins of power grids by annotating and aligning geospatial data. The work combines LiDAR point clouds, GIS maps, and high‑resolution drone imagery to ensure accurate spatial representations for AI‑driven analysis.
Key responsibilities
- Reconstruct 3D power‑grid networks using LiDAR point‑cloud and GIS data.
- Place 3D objects such as poles, lines, and conductors to match real‑world layouts.
- Align 2D map data with 3D models for seamless integration.
- Label drone photos to identify grid components and detect structural defects.
Required profile
- Background in GIS, geodesy, cartography, land management, civil engineering, or a related field.
- Strong spatial reasoning and ability to navigate 3D environments.
- English proficiency at B2 level (reading instructions, watching training videos, communicating).
- High attention to detail, problem‑solving mindset, and willingness to learn from feedback.
- PC with Intel i7‑11800H or better, dedicated GPU (NVIDIA T1200 or RTX 4060 recommended), and at least 16 GB RAM (32 GB preferred).
Required skills
- GIS
- LiDAR point‑cloud handling
- 3D modeling
- Drone image annotation
What we offer
- Full‑time remote schedule (9 hours per day with a 1‑hour lunch).
- Standard business hours (09:00/10:00 – 18:00/19:00 EEST).
- Supportive, non‑bureaucratic management.
- Competitive compensation in USD.
- Opportunities for long‑term professional growth.
Questions fréquentes
Why are you reporting this job?
Apply in 30 seconds
Enter your email to apply. An account will be created automatically.
By continuing, you accept our terms of use.
Already have an account? Login
Une question sur cette offre ?
Posez-la ici : vous recevrez le récapitulatif de l'offre par e-mail, tout de suite.
Published 1 lună în urmă
Expires peste 1 săptămână
21 views · 0 interested
Boost your chances
Upload your CV — we will match you with relevant openings.
Analyzing your CV...
Label Your Data
Cahul