Data Annotator​/Geospatial Annotation Specialist

Overview

Aechelon Technology, Inc. is a leading producer of 3D simulator content, including geospecific visual/sensor databases and realistic 3D models. We seek people who share our passion for real-time computer graphics and a commitment to helping make our Nation’s pilots safer. You will work with talented colleagues in the graphics industry to contribute to high-quality training datasets.

The Data Annotator / Geospatial Annotation Specialist plays a critical role in creating training datasets used to develop Aechelon’s machine learning and computer vision models. This role supports 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. The Specialist performs vector annotation, image segmentation, and dataset preparation with strict quality standards and a strong understanding of geospatial imagery.

You will also learn core machine learning concepts and gain experience operating inference tools within the DAML pipeline and contribute to model evaluation and workflow improvements.

• Create precise vector annotations and segmentation masks for training computer vision and object detection models.
• Perform detailed image segmentation, labeling features across large and varied imagery datasets.
• Follow established annotation guidelines and maintain consistency across global AOIs.
• Validate and refine automated detection outputs; correct errors or incomplete detections.
• Collaborate with the ML team to understand annotation needs, edge cases, and quality thresholds.
• Learn to 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 and testing.
• Assist multiple DAML groups as needed, depending on dataset demands and model development cycles.

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

• Adobe Photoshop (Advanced):
  Mask creation, polygon tracing, color differentiation, clean-up workflows, and segmentation editing.
• GIS Tools (Intermediate+): QGIS, ERDAS Imagine, or Global Mapper for spatial visualization and annotation support.
• Geospatial Data Handling:
  Shape files, Geo Packages, raster datasets, and other ML-friendly formats.
• Python (Basic–Intermediate):
  Running scripts, data checks, and basic pre-processing tasks.
• Documentation Tools:
  Jupyter Notebook and Git for tracking annotation notes and revisions.

• Experience creating training datasets for ML, object detection, or image segmentation models.
• Familiarity with YOLO, PyTorch, or fast.ai (conceptual knowledge acceptable).
• Ability to create simple scripts to automate annotation steps or pre-processing tasks.
• Experience using ChatGPT or other LLMs to improve workflows, generate helper scripts, or automate documentation.
• Understanding of geospatial features such as vegetation, buildings, vehicles, aircraft, or runtime elements.

The Specialist reports to managers in the Advanced Model Development and Applied Real-Time Vision groups depending on project assignment. Regular updates on dataset progress, annotation quality, workflow blockers, and model evaluation findings are expected. The Specialist is expected to meet annotation quotas while maintaining strict accuracy and quality standards.

$82,000 - $92,000 / year This range is California-specific and may not apply to other locations. Final compensation is based on skills, qualifications, and experience.

We offer a competitive base salary, company performance-based profit sharing, 401k, and 100% employer-paid health benefits (medical, dental, vision, life, STD, LTD).

Aechelon Technology is an equal opportunity employer. We provide access and opportunities to individuals with disabilities. If you require a reasonable accommodation during the application process, please email  with a detailed description of your accommodation request, your name, and preferred contact method.

This description is not a complete listing of activities, duties, or responsibilities and may be changed at any time by the Company with notice to the employee.