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Hybrid LiDAR Annotator LiDAR Annotator

micro1  ·  nan, · Hybrid

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About the job


About Us:

At micro1, we’re all about connecting skilled remote professionals with some of the best companies in Silicon Valley. Our mission is to offer a stable, competitive income, along with access to top industry opportunities—all in a flexible work setting with a range of great benefits. We’re here to help you grow in your career. We're proud to work with trusted partners such as Deel, Immutable, O’Gara, and LegalSoft.



Responsibilities

  • Annotate and label 2D images, 3D point clouds, and LiDAR data to identify and outline objects of interest, including vehicles, pedestrians, cyclists, and road infrastructure.
  • Adhere to annotation guidelines and standards to ensure consistency and accuracy across datasets.
  • Utilize various annotation tools and software to perform tasks efficiently and with high quality.
  • Verify and validate annotations, maintaining a high standard of data quality and reliability.
  • Collaborate closely with data scientists, engineers, and researchers to align on annotation requirements and project goals.
  • Provide feedback and suggestions for enhancing annotation tools, workflows, and processes.
  • Document annotation guidelines, specifications, and any encountered challenges, ensuring transparency and repeatability.
  • Stay informed on advancements in computer vision and sensor technologies relevant to annotation.



Qualifications



Education details


  • Strong understanding of 2D and 3D geometry, spatial data, and coordinate systems.
  • Familiarity with LiDAR technology, point cloud processing, and sensor fusion.
  • Proficiency in annotation tools for 2D image annotation (e.g., bounding boxes, polygons), 3D point cloud annotation, and LiDAR data.
  • Exceptional attention to detail and consistency, with an ability to handle large datasets accurately.
  • Effective communication skills for multidisciplinary collaboration.
  • Strong time management and self-discipline to meet project deadlines.
  • A Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field is preferred but not required.
  • Previous experience in data annotation, computer vision, or a related field is an asset.



Required Skills


  • Previous experience in a similar role.
  • Familiarity with advanced LiDAR software and tools.
  • Background in geospatial sciences or related fields.


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