Data Annotations Engineer

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.
  

Requirements

Required Skills & Qualifications

Core Skills

• Strong understanding of remote sensing fundamentals, especially:
  

  • EO imagery (RGB, multispectral)
    

  • SAR imagery (amplitude, phase, backscatter interpretation)
    

• Experience with annotation tasks such as:
  

  • Bounding boxes
    

  • Polygons
    

  • Pixel -wise segmentation masks
    

• Familiarity with change detection concepts in satellite imagery.
  

Tools & Technologies

• Experience using annotation tools such as:
  

  • CVAT, Labelbox, Supervisely, QGIS, ArcGIS, or similar
    

• Ability to work with GIS and raster data formats:
  

  • GeoTIFF, Shapefile, JSON, COCO, Pascal VOC
    

• Basic scripting skills (Python preferred) for:
  

  • Data inspection
    

  • Annotation validation
    

  • Format conversion