Data Annotator
Irving, TX · On-site
... Annotation - Accurately label site entities (vehicles, personnel, terrain features) across 2D video and 3D LiDAR/radar data. - Map and track heavy equipment trajectories, articulation, and ...
Quick apply
Data Annotator
Irving, TX · On-site
... Annotation - Accurately label site entities (vehicles, personnel, terrain features) across 2D video and 3D LiDAR/radar data. - Map and track heavy equipment trajectories, articulation, and ...
Data Annotator
Irving, TX · On-site
$109K - $132K/yr
... mapping. - Vision-Language-Action (VLA) Annotation - Decompose and label complex mining tasks into detailed actions, intents, and outcomes. - Annotate machine/operator intent (e.g., maneuver ...
Quick apply
Data Annotator
Irving, TX · On-site
$109K - $132K/yr
... mapping. - Vision-Language-Action (VLA) Annotation - Decompose and label complex mining tasks into detailed actions, intents, and outcomes. - Annotate machine/operator intent (e.g., maneuver ...
Data Annotator
Irving, TX · On-site
$109K - $132K/yr
... annotation, labeling, or QA for computer vision, robotics, or autonomous systems. - Experience with 3D spatial data (LiDAR, point clouds, depth maps, spatial trajectories, multi-camera feeds ...
Quick apply
Data Annotator
Irving, TX · On-site
$109K - $132K/yr
... annotation, labeling, or QA for computer vision, robotics, or autonomous systems. - Experience with 3D spatial data (LiDAR, point clouds, depth maps, spatial trajectories, multi-camera feeds ...
Data Annotator
Irving, TX · On-site
$109K - $132K/yr
... annotation, labeling, or QA for computer vision, robotics, or autonomous systems. Experience handling 3D spatial data (LiDAR point clouds, depth maps, spatial trajectories, multi-camera feeds)
Quick apply
Data Annotator
Irving, TX · On-site
$109K - $132K/yr
... annotation, labeling, or QA for computer vision, robotics, or autonomous systems. Experience handling 3D spatial data (LiDAR point clouds, depth maps, spatial trajectories, multi-camera feeds)
Data Annotator
Irving, TX · On-site
$109K - $132K/yr
... annotation, labeling, or QA for computer vision, robotics, or autonomous systems. - Experience with 3D spatial data (LiDAR, depth maps, multi-camera feeds). - Proficient in standard labeling ...
Quick apply
Data Annotator
Irving, TX · On-site
$109K - $132K/yr
... annotation, labeling, or QA for computer vision, robotics, or autonomous systems. - Experience with 3D spatial data (LiDAR, depth maps, multi-camera feeds). - Proficient in standard labeling ...
Data Annotator
Irving, TX · On-site
... in data annotation, labeling, or QA for computer vision, robotics, or autonomous systems. - Experience working with 3D spatial data (LiDAR, point clouds, depth maps, multi-camera feeds ...
Quick apply
Data Annotator
Irving, TX · On-site
... in data annotation, labeling, or QA for computer vision, robotics, or autonomous systems. - Experience working with 3D spatial data (LiDAR, point clouds, depth maps, multi-camera feeds ...
Survey CAD Tech
Richardson, TX · On-site
$65K - $85K/yr
Produce accurate, client-ready survey drawings and exhibits (e.g., topographic maps, boundary ... annotation guidelines to ensure consistent quality, increased efficiency, and ease of data ...
Survey CAD Tech
Richardson, TX · On-site
$65K - $85K/yr
Produce accurate, client-ready survey drawings and exhibits (e.g., topographic maps, boundary ... annotation guidelines to ensure consistent quality, increased efficiency, and ease of data ...
... mapping for continuous improvement. * Lead automation efforts using tool palettes, LISP routines ... equivalent, annotation styles, title blocks, and periodic standards audits. * Strong QA/QC ...
Quick apply
... mapping for continuous improvement. * Lead automation efforts using tool palettes, LISP routines ... equivalent, annotation styles, title blocks, and periodic standards audits. * Strong QA/QC ...
... mapping for continuous improvement. * Lead automation efforts using tool palettes, LISP routines ... equivalent, annotation styles, title blocks, and periodic standards audits. * Strong QA/QC ...
Quick apply
... mapping for continuous improvement. * Lead automation efforts using tool palettes, LISP routines ... equivalent, annotation styles, title blocks, and periodic standards audits. * Strong QA/QC ...
... mapping for continuous improvement. * Lead automation efforts using tool palettes, LISP routines ... equivalent, annotation styles, title blocks, and periodic standards audits. * Strong QA/QC ...
Quick apply
... mapping for continuous improvement. * Lead automation efforts using tool palettes, LISP routines ... equivalent, annotation styles, title blocks, and periodic standards audits. * Strong QA/QC ...
Map Annotation information
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 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 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 job categories do people searching Map Annotation jobs in Arlington, TX look for? The top searched job categories for Map Annotation jobs in Arlington, TX are:
What cities near Arlington, TX are hiring for Map Annotation jobs? Cities near Arlington, TX with the most Map Annotation job openings:
Job description
Certainly! Here’s a job summary in list format based on your description for the Data Annotator & QA Reviewer (Autonomy & Robotics – Mining Operations):
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### Job Summary
- Perform Manual Data Annotation & QA Review
- Annotate and QA review multi-modal data: video, images, 3D point clouds, and machine sensor data (LiDAR, radar, CAN bus).
- Label objects, 3D spatial boundaries, trajectories, actions, task sequences, intent, and outcomes for heavy mining equipment.
- Perception & Sensor Annotation
- Accurately label site entities (vehicles, personnel, terrain features) across 2D video and 3D LiDAR/radar data.
- Map and track heavy equipment trajectories, articulation, and operational states.
- Align and cross-reference visual and sensor telemetry for temporal and spatial consistency.
- Vision-Language-Action (VLA) Annotation
- Decompose mining workflows into structured sequences: task → action → intent → causation → outcome.
- Identify and annotate machine/operator intent and cause-effect chains within mining operations.
- Tag expected vs. actual outcomes (e.g., load success, hazard encounters).
- Quality Assurance (QA) & Data Audit
- Conduct rigorous QA audits for labeling accuracy, semantic consistency, and temporal coherence—even in edge cases (poor visibility, complex terrain).
- Provide structured feedback to annotators and suggest updates to labeling guidelines as edge cases are encountered.
- Collaboration & Process Improvement
- Work closely with cross-functional teams to maintain and improve annotation quality.
- Update and maintain documentation and annotation schemas for evolving mining scenarios.
---
Required Experience & Skills
- 1+ years in data annotation, labeling, or QA for computer vision, robotics, or autonomous systems.
- Proficient with 3D spatial data (LiDAR, depth maps, trajectories) and labeling tools (e.g., CVAT, Labelbox, Scale AI, Supervisely).
- Strong understanding of mining operations, spatial perception, and heavy equipment mechanics.
- Attention to detail, technical aptitude, and ability to handle structured metadata (JSON/XML).
- Strong communication skills for feedback and process documentation.
Desired/Bonus Experience
- Background in mining engineering, geotechnical engineering, robotics, autonomous vehicles, or industrial autonomy.
- Familiarity with autonomous haulage systems, telemetry logs, or embodied VLA models.
---
Let me know if you want a more condensed or detailed version!
---
### Job Summary
- Perform Manual Data Annotation & QA Review
- Annotate and QA review multi-modal data: video, images, 3D point clouds, and machine sensor data (LiDAR, radar, CAN bus).
- Label objects, 3D spatial boundaries, trajectories, actions, task sequences, intent, and outcomes for heavy mining equipment.
- Perception & Sensor Annotation
- Accurately label site entities (vehicles, personnel, terrain features) across 2D video and 3D LiDAR/radar data.
- Map and track heavy equipment trajectories, articulation, and operational states.
- Align and cross-reference visual and sensor telemetry for temporal and spatial consistency.
- Vision-Language-Action (VLA) Annotation
- Decompose mining workflows into structured sequences: task → action → intent → causation → outcome.
- Identify and annotate machine/operator intent and cause-effect chains within mining operations.
- Tag expected vs. actual outcomes (e.g., load success, hazard encounters).
- Quality Assurance (QA) & Data Audit
- Conduct rigorous QA audits for labeling accuracy, semantic consistency, and temporal coherence—even in edge cases (poor visibility, complex terrain).
- Provide structured feedback to annotators and suggest updates to labeling guidelines as edge cases are encountered.
- Collaboration & Process Improvement
- Work closely with cross-functional teams to maintain and improve annotation quality.
- Update and maintain documentation and annotation schemas for evolving mining scenarios.
---
Required Experience & Skills
- 1+ years in data annotation, labeling, or QA for computer vision, robotics, or autonomous systems.
- Proficient with 3D spatial data (LiDAR, depth maps, trajectories) and labeling tools (e.g., CVAT, Labelbox, Scale AI, Supervisely).
- Strong understanding of mining operations, spatial perception, and heavy equipment mechanics.
- Attention to detail, technical aptitude, and ability to handle structured metadata (JSON/XML).
- Strong communication skills for feedback and process documentation.
Desired/Bonus Experience
- Background in mining engineering, geotechnical engineering, robotics, autonomous vehicles, or industrial autonomy.
- Familiarity with autonomous haulage systems, telemetry logs, or embodied VLA models.
---
Let me know if you want a more condensed or detailed version!
About Expert Technology Services Arizona
Sourced by ZipRecruiter
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Phoenix, AZ, US
Year founded
2006