Data Annotation Analyst

Accountabilities:

• • Annotate 2D and 3D objects across images, video, and LiDAR point clouds, including vehicles, machinery, people, signage, and environmental features.
  • Create and maintain accurate segmentation, object tracking, pose, and keypoint annotations across visual sequences.
  • Apply detailed annotation specifications covering class definitions, occlusion rules, object thresholds, and inclusion or exclusion criteria.
  • Review completed work, respond to QA feedback, and consistently meet established quality and accuracy standards.
  • Identify and escalate ambiguous scenes, sensor artifacts, tooling problems, and gaps in annotation specifications rather than making assumptions.
  • Document data quality and tooling issues clearly, including relevant details and reproducible steps.
  • Participate in calibration sessions, guideline reviews, and team standups to maintain consistent interpretations across the annotation team.
  • Share observations and edge cases that can improve annotation guidelines, taxonomies, and documentation.
  • Maintain expected production volume while ensuring annotations remain accurate, consistent, and reliable.

  Requirements:

  • Strong attention to detail and the ability to maintain accuracy during repetitive, visually intensive work over extended periods.
  • Strong spatial reasoning skills, including the ability to interpret 3D environments and understand object size, position, orientation, and relationships.
  • Ability to learn and navigate specialized software efficiently, including keyboard shortcuts and other productivity features.
  • Experience working in a fast-paced, scaled environment with defined productivity, quality, or accuracy targets.
  • Experience with image annotation or GenAI data workflows.
  • Reliable high-speed internet and a distraction-free workspace suitable for focused, visually intensive work.
  • Ability to work on a company-provided machine within a controlled technical environment.
  • Associate or bachelor's degree is a plus.
  • Experience with image, video, LiDAR, or 3D annotation tools is preferred.
  • Background in subsurface utility engineering, construction surveying, surveying, GIS, or other fields involving spatial interpretation of physical environments is advantageous.
  • Experience with AutoCAD or similar technical design tools is a plus.
  • Experience in construction, mining, agriculture, industrial operations, or heavy equipment environments is beneficial.
  • Familiarity with point cloud data, sensor fusion, or camera-LiDAR calibration is preferred.
  • Experience working with autonomous vehicles, robotics, or machine perception datasets is an advantage.

  Benefits:

  • Opportunity to contribute to advanced AI and computer vision applications across complex real-world environments.
  • Flexible working environment designed to support different working styles and team needs.
  • Access to specialized tools, resources, and opportunities to develop technical capabilities.
  • Collaborative culture focused on innovation, accountability, curiosity, and high-quality AI solutions.
  • Opportunity to work alongside experienced professionals on challenging AI training and evaluation projects.
  • Remote work environment with the flexibility to work from a suitable location in the United States.
  • Company-provisioned machine and controlled work environment for performing annotation tasks.