We are looking for a Data Annotations intern 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 be a key contributor in building high-quality labeled datasets to be used to train and validate computer-vision models. This is an internship position for a period of 3 months.

Subject to project needs, and individual performance, the internship may be considered for conversion to a full time role.

Responsibilities

Annotation & Labeling

- Annotate features including targets and infrastructure in EO (optical, multi-spectral) and SAR imagery, across different acquisition modes and resolutions.

- Image segmentation or pixel-level masks depending on the schema of annotations required.

- Flag imagery affected by cloud cover, haze, or sensor noise that may compromise annotation quality.

- Handle annotations across multiple sensor modalities (EO–EO, SAR–SAR, EO–SAR).

- Annotate paired EO/SAR scenes across designated Areas of Interest (AOIs), maintaining consistency across dataset batches.

Geospatial & Data Handling

- Work with geo-referenced raster data (GeoTIFF, etc.) and vector data (json, geojson, .gpkg, .shp, 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.

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.

Requirements

Required Qualifications

Education: Pursuing or recently completed a bachelor's degree. Eagerness to learn about satellite sensors workflows, Satellite Image Processing, and DL/ML dataset curation.

Requirements:

- Exposure to satellite images and geospatial data.

- Experience with EO, SAR, or geospatial datasets.

- Usage of GIS Softwares e.g., QGIS, ArcGIS, ERDAS Imagine, etc.

- Exposure to Roboflow, CVAT, LabelMe and other geospatial annotation platforms.

Benefits

What You'll Gain

- Hands-on exposure to real satellite EO/SAR datasets used in production of ML pipelines.

- Direct mentorship from the AI & CV team on geospatial data workflows.

📌 Data Annotation Intern (Bengaluru)
🏢 Galaxeye Space Solutions
📍 Bengaluru