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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in 2D and 3D object annotation across various media, including images and LiDAR point clouds, while maintaining high accuracy and quality standards. Proficient in utilizing annotation tools and adhering to guidelines for effective data management and documentation.
Highest-signal resume keywords
2D And 3D Object AnnotationImage Annotation GenAI WorkflowsSpatial Reasoning SkillsExperience With AutoCADFamiliarity With Point Cloud Data
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Object TrackingPose AnnotationKeypoint AnnotationAnnotation Guidelines ApplicationData Quality Documentation3D Annotation ToolsLiDAR Point Cloud AnnotationSensor FusionCamera-LiDAR CalibrationSubsurface Utility Engineering
Soft Skills
Attention To DetailAbility To Maintain AccuracyStrong CommunicationProblem-Solving SkillsTeam Collaboration
Tools & Technologies
Annotation SoftwareImage Annotation ToolsVideo Annotation ToolsLiDAR ToolsPurpose-Built Software
Industry Keywords
Construction SurveyingGISSpatial InterpretationAutonomous VehiclesRobotics
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Annotate 2D and 3D objects across images, video, and LiDAR point clouds, including vehicles, machinery, people, signage, and environmental features
- Create and maintain segmentation, object tracking, pose, and keypoint annotations across sequences
- Apply annotation guidelines covering class definitions, occlusion rules, object thresholds, and inclusion/exclusion criteria
- Review work, respond to QA feedback, and maintain quality and accuracy standards
- Identify and escalate ambiguous scenes, sensor artifacts, tooling issues, and specification gaps
- Document data quality and tooling issues with clear details and reproduction steps
- Participate in calibration sessions, guideline reviews, and team standups
- Share observations to improve annotation guidelines, taxonomies, and edge-case documentation
- Produce accurate, consistent annotations at the expected volume while maintaining reliable datasets
Requirements
What you’ll need- Strong attention to detail and ability to maintain accuracy during repetitive, visually intensive work
- Strong spatial reasoning skills, including interpreting 3D environments and understanding object size, position, and orientation
- Ability to learn and navigate complex purpose-built software, keyboard shortcuts, and tooling features
- Experience working in a fast-paced, scaled environment with defined productivity, quality, or accuracy targets
- Experience with image annotation GenAI workflows
- Reliable high-speed internet
- Distraction-free workspace
- Ability to work on a company-provisioned machine within a controlled environment
- Experience with image, video, LiDAR, or 3D annotation tools
- Experience with subsurface utility engineering, construction surveying, surveying, GIS, or spatial interpretation of physical environments
- Experience with AutoCAD or similar tools
- Experience in construction, mining, agriculture, industrial operations, or heavy equipment environments
- Familiarity with point cloud data, sensor fusion, or camera-LiDAR calibration
- Experience with autonomous vehicles, robotics, or machine perception datasets
Benefits
Comp & perks- Flexible work arrangements
- Tools, resources and development opportunities
- Reliable high-speed internet requirement
- Company-provisioned machine
- Controlled work environment
