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Map Annotation Jobs in Dublin, CA (NOW HIRING)

Arthur Lawrence

Data Annotator

San Francisco, CA · On-site

Hands-on experience with HD mapping/data annotation, particularly in autonomous driving, using LiDAR point clouds, orthophotos, or 2D/3D annotation tools. * Strong spatial awareness, attention to ...

Civil Maps

Senior Technical Recruiter

Berkeley, CA

... human annotation in current use. As a result, the company can quickly generate and maintain maps that give fully autonomous vehicles the comprehensive and precise knowledge to autonomous operate ...

Civil Maps

Senior Technical Recruiter

Berkeley, CA · On-site

... human annotation in current use. As a result, the company can quickly generate and maintain maps that give fully autonomous vehicles the comprehensive and precise knowledge to autonomous operate ...

OpenReq

Senior Full Stack Engineer

San Francisco, CA · On-site

They are seeking a Senior Full-Stack Engineer to develop their 3D annotation QA tool, ensuring accuracy and reliability in 3D maps. Responsibilities : • Lead the development and enhancement of our ...

Service Global, Inc

CAD/BIM Designer

Pleasanton, CA · On-site

$65K - $70K/yr

Produce accurate fiber port-mapping schedules, cabinet naming conventions, labeling references ... Maintain document quality by checking layer standards, sheet references, annotation consistency ...

IntelliPro Group Inc.

Data Annotator

San Francisco, CA · On-site

$35 - $40/hr

... HD) maps. While the worker is scheduled for training, the Consultant must take full ownership of ... ML goals, and new annotation platforms. You will be at the forefront of AI development ...

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All JobsMap Annotation JobsMap Annotation Jobs in Dublin, CA

Map Annotation information

What is a map annotation?

A Map Annotation job involves labeling, tagging, or annotating geographic data to improve the accuracy of digital maps. This can include identifying roads, landmarks, businesses, addresses, and other points of interest. Annotators help train AI and mapping systems by reviewing and verifying location-based information. The role requires attention to detail, spatial awareness, and sometimes familiarity with local geography. These jobs are often remote and may be project-based.

What does a map annotation do?

In a Map Annotation role, your day often involves reviewing and labeling satellite imagery or digital maps using specialized software to identify features like roads, buildings, or natural landmarks. You may work independently or as part of a team, following detailed guidelines to ensure consistency and high accuracy across the dataset. Collaboration with supervisors or quality assurance teams is common to resolve ambiguities and uphold annotation standards. The work is usually computer-based, and you might attend regular meetings to discuss updates to project requirements or annotation protocols. Over time, you can expand your responsibilities by training new teammates or moving into lead annotator or project coordinator roles.

What skills and qualifications are needed for map annotation?

To thrive as a Map Annotation specialist, you should have excellent attention to detail, spatial reasoning abilities, and familiarity with geographic information systems (GIS) or digital mapping platforms. Proficiency with annotation tools like ArcGIS, QGIS, or proprietary annotation software is often required, and some roles may prefer prior experience or training in cartography or remote sensing. Strong communication, problem-solving skills, and the ability to follow complex guidelines are valuable soft skills in this position. These skills and qualities are vital because accuracy and consistency in annotating map data directly influence the quality of geographic datasets used in applications like navigation, autonomous vehicles, and urban planning.

What cities near Dublin, CA are hiring for Map Annotation jobs?

Cities near Dublin, CA with the most Map Annotation job openings:

Map Annotation jobs near you
Infographic showing various Map Annotation job openings in Dublin, CA as of August 2026, with employment types broken down into 70% Full Time, 15% Part Time, and 15% Contract. Highlights an 89% In-person, 4% Hybrid, and 7% 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 3 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. 

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