Aechelon Technology

Data Annotator / Geospatial Annotation Specialist

South San Francisco · Mid

Sponsorship not specified$82k-$92kDetected 39 days ago

GitMachine LearningPyTorchComputer VisionLLMsPhotoshopGIS

About the role

Aechelon Technology, Inc. is a leading producer of 3D simulator content, including Geospecific visual/sensor databases and realistic 3D models.
Reporting Expectations The Specialist reports jointly to managers in the Advanced Model Development and Applied Real-Time Vision groups depending on project assignment.
Regular updates are expected on dataset progress, annotation quality, workflow blockers, and model evaluation findings.

Perform detailed image segmentation, manually labeling features across large and varied imagery datasets.
Follow established annotation guidelines and maintain consistency across global AOIs.
Validate and refine automated detection outputs
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.
Validate and refine automated detection outputs; correct errors or incomplete detections.

Prior experience with image annotation, data labeling, GIS feature extraction, or segmentation workflows.
Ability to visually identify subtle features in imagery with extreme precision.
Ability to work with large datasets for extended periods while maintaining accuracy and focus.
Required Skills and Tools
Adobe Photoshop (Advanced): Expertise in mask creation, polygon tracing, color differentiation, clean-up workflows, and segmentation editing.
Geospatial Data Handling: Ability to work with shapefiles, GeoPackages, raster datasets, and other formats used in ML workflows.
Documentation Tools: Proficiency using Jupyter Notebook and Git for tracking annotation notes and revisions.
This position description is not intended to be a complete listing of activities, duties or responsibilities that are required of the employee holding this position.

Experience creating training datasets for machine learning, object detection, or image segmentation models.
Familiarity with YOLO, PyTorch, or fast.ai (conceptual knowledge acceptable).
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 other runtime elements.

$82,000 - 92,000 / year
The above range is specific to CALIFORNIA and may not be applicable to other locations. Final compensation is based on factors such as the candidate's skills, qualifications, and experience.
We offer a very attractive compensation package including competitive base salary, company performance-based profit sharing, 401k, 100% employer paid health benefits (medical, dental, vision, life, std, ltd, and life insurance plans).
This position description is not intended to be a complete listing of activities, duties or responsibilities that are required of the employee holding this position.
Duties, responsibilities and activities may be changed or others may be assigned at any time by the Company with notice to the employee.
We are committed to providing access and opportunities to individuals with disabilities.

Create precise vector annotations and segmentation masks for training computer vision and object detection models.

Aechelon Technology is an equal opportunity employer.
Please send an email to hr_team@aechelon.com to request that accommodation, and please be sure to include a detailed description of your requested accommodation, your name and preferred method of contact.

This listing is sourced directly from Aechelon Technology's careers page and normalized into a canonical job model.