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Manager Geospatial Project Jobs in California (NOW HIRING)

Project Manager l

San Diego, CA · On-site

$90K - $120K/yr

Buildings & Program Management; and Geospatial Technology. With offices nationwide andabroad, NV5 helps clients plan, design, build, test, certify, and operate projects that improve the ...

Project Manager l

San Diego, CA · On-site

$90K - $120K/yr

Buildings & Program Management; and Geospatial Technology. With offices nationwide andabroad, NV5 helps clients plan, design, build, test, certify, and operate projects that improve the ...

Project Manager l

San Diego, CA · On-site

$90K - $120K/yr

Buildings & Program Management; and Geospatial Technology. With offices nationwide andabroad, NV5 helps clients plan, design, build, test, certify, and operate projects that improve the ...

Land Survey Project Manager

Los Angeles, CA · On-site

$150K - $175K/yr

As our Land Survey Project Manager for our Survey & Geospatial team in Southern California , you'll step into a leadership role, guiding project delivery, supporting a growing team, and helping ...

Project Manager ll

San Diego, CA · On-site

$145K - $150K/yr

Buildings & Program Management; and Geospatial Technology. With offices nationwide and abroad, NV5 helps clients plan, design, build, test, certify, and operate projects that improve the communities ...

Land Survey Project Manager

Valencia, CA · Hybrid

$150K - $175K/yr

As our Land Survey Project Manager for our Survey & Geospatial team in Southern California , you'll step into a leadership role, guiding project delivery, supporting a growing team, and helping ...

As our Land Survey Project Manager for our Survey & Geospatial team in Southern California , you'll step into a leadership role, guiding project delivery, supporting a growing team, and helping ...

Project Manager ll

San Diego, CA · On-site

$145K - $150K/yr

Buildings & Program Management; and Geospatial Technology. With offices nationwide and abroad, NV5 helps clients plan, design, build, test, certify, and operate projects that improve the communities ...

Buildings & Program Management; and Geospatial Technology. With offices nationwide and abroad, NV5 helps clients plan, design, build, test, certify, and operate projects that improve the communities ...

Land Survey Project Manager

Los Angeles, CA · On-site

$150K - $175K/yr

As our Land Survey Project Manager for our Survey & Geospatial team in Los Angeles/Santa Clarita, you'll step into a leadership role, guiding project delivery, supporting a growing team, and helping ...

Land Survey Project Manager

Los Angeles, CA · Hybrid

$150K - $175K/yr

As our Land Survey Project Manager for our Survey & Geospatial team in Los Angeles/Santa Clarita , you'll step into a leadership role, guiding project delivery, supporting a growing team, and helping ...

Buildings & Program Management; and Geospatial Technology. With offices nationwide and abroad, NV5 helps clients plan, design, build, test, certify, and operate projects that improve the communities ...

Buildings & Program Management; and Geospatial Technology. With offices nationwide and abroad, NV5 helps clients plan, design, build, test, certify, and operate projects that improve the communities ...

Buildings & Program Management; and Geospatial Technology. With offices nationwide and abroad, NV5 helps clients plan, design, build, test, certify, and operate projects that improve the communities ...

Showing results 21-40

Manager Geospatial Project information

What are the key skills and qualifications needed to thrive as a manager geospatial project, and why are they important?

To thrive as a Manager Geospatial Project, you need expertise in GIS technologies, project management, and spatial data analysis, typically supported by a degree in geography, GIS, or a related field. Familiarity with software such as ArcGIS, QGIS, remote sensing tools, and certifications like PMP or GISP is highly advantageous. Strong leadership, communication, and problem-solving skills help manage teams and collaborate with stakeholders effectively. These skills and qualifications are crucial to delivering complex geospatial projects on time, within scope, and in alignment with organizational goals.

What are some of the typical challenges a manager geospatial project might face when overseeing multidisciplinary teams?

As a Manager Geospatial Project, you often coordinate teams with diverse expertise, including GIS analysts, developers, engineers, and data scientists. One key challenge is aligning technical goals and timelines across these disciplines while ensuring effective communication. You'll also need to manage project scope changes and integrate various data sources, which can require creative problem-solving and adaptability. Building strong collaborative relationships and setting clear expectations are essential for delivering successful geospatial solutions on time and within budget.

What does a manager geospatial project do?

A Manager Geospatial Project oversees projects that involve the collection, analysis, and visualization of geographic or spatial data. They lead teams of GIS specialists, analysts, and technicians to deliver mapping solutions for various industries such as urban planning, environmental management, and infrastructure development. Their responsibilities include project planning, resource allocation, client communication, and ensuring the timely completion of deliverables while maintaining data quality and accuracy. Additionally, they stay updated on the latest geospatial technologies and best practices to optimize project outcomes.
What are popular job titles related to Manager Geospatial Project jobs in California? For Manager Geospatial Project jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Manager Geospatial Project jobs? Cities in California with the most Manager Geospatial Project job openings:
Infographic showing various Manager Geospatial Project job openings in California as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 2% Temporary, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Data Annotator / Geospatial Annotation Specialist

Aechelon Technology

South San Francisco, CA

$82K - $92K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 23 days ago


Job description

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.Â