Data Annotator / Geospatial Annotation Specialist

About Aechelon Technology, Inc.

Aechelon Technology is a leading producer of 3D simulator content, including geospecific visual/sensor databases and realistic 3D models. We are committed to helping make our Nation's pilots safer through real-time computer graphics innovation.

Role Overview

The Data Annotator / Geospatial Annotation Specialist plays a critical role in creating high-quality training datasets for machine learning and computer vision models. You will support both the Advanced Model Development Group and the Applied Real-Time Vision Group, ensuring datasets for object detection, segmentation, and classification are accurate, consistent, and production-ready.

This position requires exceptional attention to detail and a strong understanding of geospatial imagery. You will perform vector annotation, image segmentation, and dataset preparation while learning core machine learning concepts and operating inference tools within the DAML pipeline.

Key Responsibilities

• Create precise vector annotations and segmentation masks for training computer vision and object detection models
• Perform detailed image segmentation, manually labeling features across large and varied imagery datasets
• Follow established annotation guidelines and maintain consistency across global areas of interest (AOIs)
• Validate and refine automated detection outputs; correct errors or incomplete detections
• Collaborate with ML teams to understand annotation needs, edge cases, and quality thresholds
• Operate model inference tools and assist in evaluating model performance
• Provide feedback on false positives/negatives, detection weaknesses, and annotation ambiguities
• Maintain structured documentation of annotation processes, datasets, feature definitions, and QA results
• Support improvements to dataset pipelines and annotation workflows through iterative refinement
• Assist multiple DAML groups as dataset demands and model development cycles require

Required Qualifications

• Background in GIS, Remote Sensing, Image Analysis, Digital Art, Photography, or related field (degree preferred but not required with strong relevant experience)
• Prior experience with image annotation, data labeling, GIS feature extraction, or segmentation workflows
• Ability to visually identify subtle features in imagery with extreme precision
• Strong analytical, organizational, and documentation skills
• Ability to work with large datasets for extended periods while maintaining accuracy and consistency