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Open nowFirst seen 31 hours ago

Data Processor

Silent Falcon UAS Technologies6 open roles

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Your applicationOpen nowData ProcessorSilent Falcon UAS Technologies

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Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 31 hours ago

The posting

At Silent Falcon UAS Technologies, we are at the forefront of AI and digital twins innovation for airports and transportation infrastructure, revolutionizing operations and enhancing safety. Our mission is to optimize efficiency and drive transformative change in the industry through cutting-edge technology solutions.

Silent Falcon UAS is seeking a Data Processor to join our in-office team to support the AI Engineers by preparing, annotating, and validating high-resolution remote sensing / imagery / spatial datasets. Your work ensures that models perform accurately on detecting pavement conditions and that digital twin outputs are clean, consistent, and usable for clients.

Key Responsibilities:

  • Process, clean, and annotate image data, 3D scan data, point clouds, or mesh data (marking cracks, distresses, edge lines, etc.)
  • Organize and maintain datasets, metadata, and geolocation tags to ensure data is properly georeferenced.
  • Validate model predictions, help with error review, and flag data anomalies or misclassifications.
  • Assist in preparing datasets for training, testing, and temporal/change-detection comparisons.
  • Follow data quality standards, maintain consistency across annotators.
  • Work with the AI Engineer to refine annotations toold, guidelines, and workflows.

Qualifications:

  • Bachelors degree (in progress or completed) in Computer Science or related field.
  • 1+ years of relevant experience.
  • Experience with image annotation tools or similar platforms.
  • Ability to identify cracks, pavement distresses, and texture changes in imagery.
  • Comfortable working with large file sizes.
  • Strong organizational skills.
  • Strong attention to detail.
  • Basic familiarity with geospatial concepts (coordinates) is a plus.
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