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Geospatial Manager information

How does a Geospatial Manager typically collaborate with cross-functional teams within an organization?

A Geospatial Manager frequently works alongside departments such as engineering, urban planning, environmental science, and IT to align geospatial data and analysis with broader organizational goals. This role often involves leading meetings to gather requirements, sharing insights from spatial data, and ensuring that mapping solutions meet project needs. Effective communication and the ability to translate technical findings into actionable recommendations are crucial, as the Geospatial Manager serves as a bridge between technical staff and non-technical stakeholders.

What are the key skills and qualifications needed to thrive as a Geospatial Manager, and why are they important?

To thrive as a Geospatial Manager, you need expertise in geographic information systems (GIS), spatial data analysis, and project management, typically backed by a degree in geography, GIS, or related fields. Proficiency with GIS software (such as ArcGIS or QGIS), remote sensing tools, and data visualization platforms, along with relevant certifications like GISP, is highly valued. Leadership, problem-solving, and effective communication are essential soft skills for managing teams and collaborating with stakeholders. These skills ensure accurate spatial data analysis, efficient project delivery, and strategic decision-making in organizations relying on geospatial information.

What is a Geospatial Manager?

A Geospatial Manager is a professional who oversees the collection, analysis, and management of geographic data using Geographic Information Systems (GIS) and related technologies. They lead teams that work with mapping, spatial data, and geospatial analytics to support decision-making in fields like urban planning, environmental management, and logistics. Geospatial Managers are responsible for project planning, resource allocation, and ensuring data quality and integrity. They also collaborate with other departments to integrate geospatial insights into broader organizational strategies.
What are the most commonly searched types of Geospatial jobs in California? The most popular types of Geospatial jobs in California are:
What are popular job titles related to Geospatial Manager jobs in California? For Geospatial Manager jobs in California, the most frequently searched job titles are:
What job categories do people searching Geospatial Manager jobs in California look for? The top searched job categories for Geospatial Manager jobs in California are:
What cities in California are hiring for Geospatial Manager jobs? Cities in California with the most Geospatial Manager job openings:
Geospatial Manager jobs near you
Data Annotator / Geospatial Annotation Specialist

Data Annotator / Geospatial Annotation Specialist

Aechelon Technology

South San Francisco, CA • On-site

$82K - $92K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 24 days ago

Job description

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 commitment to our mission of helping make our Nation's pilots safer. We will give you a chance to work with some of the most talented people in the graphics industry.
The Data Annotator / Geospatial Annotation Specialist plays a critical role in the creation of high-quality training datasets used to develop and refine Aechelon's machine learning and computer vision models. This role supports 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.
The Specialist performs detailed vector annotation, image segmentation, and dataset preparation while adhering to strict quality standards. Because model performance is highly dependent on high-quality annotation, this role requires exceptional attention to detail and a strong understanding of geospatial imagery.
In addition to dataset creation, the Specialist will learn core machine learning concepts and gain experience operating inference tools and models within the DAML pipeline, becoming a direct contributor to model evaluation and workflow improvements.
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 AOIs.
  • Validate and refine automated detection outputs; correct errors or incomplete detections.
  • Work with ML team to understand annotation needs, edge cases, and quality thresholds.
  • Learn how 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.
Required Qualifications
  • 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 extreme precision.
  • Strong analytical, organizational, and documentation skills.
  • 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.
  • GIS Tools (Intermediate+): Ability to work in QGIS, ERDAS Imagine, or Global Mapper for spatial visualization and annotation support.
  • Geospatial Data Handling: Ability to work with shapefiles, GeoPackages, raster datasets, and other formats used in ML workflows.
  • Python (Basic-Intermediate): Ability to run scripts, perform data checks, and assist with pre-processing tasks.
  • Documentation Tools: Proficiency using Jupyter Notebook and Git for tracking annotation notes and revisions.

Strongly Desired Skills and Tools
  • Experience creating training datasets for machine learning, 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 other runtime elements.
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. The Specialist is expected to meet annotation quotas while maintaining strict accuracy and quality standards.
Compensation
$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).
No relocation reimbursement provided.
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.
Aechelon Technology is an equal opportunity employer. We are committed to providing access and opportunities to individuals with disabilities. If you are an applicant who is unable to fully utilize/access our application process because of a disability, Aechelon Technology will provide a reasonable accommodation. 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.

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