We are looking for a Data Annotation Engineer with hands-on experience in annotating Earth Observation (EO) and Synthetic Aperture Radar (SAR) imagery for advanced computer vision and geospatial AI tasks. You will play a critical role in building high-quality labeled datasets for object detection, semantic segmentation, and bi-temporal change detection models.

Key Responsibilities

Annotation & Labeling
- Annotate high-resolution EO (optical, multispectral) and SAR imagery (0.5 m – 3 m resolution).
- Perform pixel-level and object-level annotations for:
- Object detection (buildings, vehicles, roads, ships, infrastructure, etc.)
- Semantic & instance segmentation
- Bi-temporal change detection / change segmentation
- Handle annotations across multiple sensor modalities (EO–EO, SAR–SAR, EO–SAR).

Geospatial & Data Handling
- Work with geo-referenced raster data (GeoTIFF, NITF, HDF5, etc.).




- Ensure spatial alignment and consistency between multi-temporal and multi-sensor datasets.
- Validate annotations against ground truth, reference layers, or auxiliary GIS data.

Quality Control
- Maintain high annotation accuracy and consistency across datasets.
- Perform peer reviews and quality audits on annotated data.
- Identify edge cases, ambiguous regions, and sensor-specific artifacts (e.g., SAR speckle, layover, shadow).

Collaboration with ML Teams
- Collaborate with ML engineers and researchers to:
- Refine labeling guidelines
- Improve class definitions and taxonomy
- Provide feedback on model errors and data gaps
- Assist in creating annotation protocols and documentation.

📌 Data Annotations Engineer (Bengaluru)
🏢 Galaxeye Space Solutions
📍 Bengaluru