Annotation Specialist (2D, 3D, LiDAR)

Macgence is a leading AI training data company at the forefront of providing exceptional human-in-the-loop solutions to make AI better. We specialize in offering fully managed AI/ML data solutions, catering to the evolving needs of businesses across industries. With a strong commitment to responsibility and sincerity, we have established ourselves as a trusted partner for organizations seeking advanced automation solutions.

Fueled by our human expertise, our team has executed projects enabling cutting-edge technology that has revolutionized automation in many sectors. We do this by harnessing the power of human-generated AI and ML thus facilitating seamless global business automation and enhancing efficiency and productivity.

At Macgence, we are committed to providing our customers with high quality, timely solutions that address their specific needs and challenges. We understand the crucial role of accurate, reliable human-generated data in driving AI and ML systems. As a result, we leverage our expertise to curate high-quality ~ 95%+ accuracy datasets. These datasets fuel innovation and deliver tangible results.

Partnering with Macgence means gaining a trusted ally in your journey towards leveraging the power of AI and ML. We are dedicated to empowering businesses, optimizing processes, and driving growth through our innovative data solutions.

Job Overview: We are seeking a skilled and detail-oriented individual to join our team as an Annotation Specialist specializing in 2D, 3D, and LiDAR data. In this role, you will play a crucial part in the development of autonomous driving systems and other computer vision applications by accurately annotating and labeling various types of sensor data. Your work will contribute directly to the training and validation of machine learning algorithms for object detection, localization, and tracking.

Key Responsibilities:

  1. Annotate and label 2D images, 3D point clouds, and LiDAR data to identify and outline objects of interest such as vehicles, pedestrians, cyclists, and road infrastructure.
  2. Follow annotation guidelines and specifications to ensure consistency and accuracy across annotated datasets.
  3. Work with a variety of annotation tools and software to perform tasks efficiently and effectively.
  4. Verify and validate annotations to maintain high data quality and reliability.
  5. Collaborate with data scientists, engineers, and researchers to understand annotation requirements and project objectives.
  6. Provide feedback and suggestions for improving annotation tools, workflows, and processes.
  7. Keep detailed records of annotation tasks, including documentation of annotation guidelines, specifications, and any issues encountered.
  8. Stay updated on advances in computer vision and sensor technology relevant to annotation tasks.


  1. Strong understanding of 2D and 3D geometry, spatial data, and coordinate systems.
  2. Familiarity with LiDAR technology, point cloud processing, and sensor fusion techniques.
  3. Proficiency in using annotation tools and software for 2D image annotation (e.g., bounding boxes, polygons), 3D point cloud annotation, and LiDAR annotation.
  4. Excellent attention to detail and ability to maintain accuracy while working with large datasets.
  5. Effective communication skills with the ability to collaborate with multidisciplinary teams.
  6. Ability to work independently and manage time effectively to meet project deadlines.
  7. Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field is preferred but not required.
  8. Previous experience in data annotation, computer vision, or related fields is a plus.

Why Join Us:

  • Opportunity to work on cutting-edge projects at the forefront of autonomous driving and computer vision technology.
  • Collaborative and supportive work environment with opportunities for professional growth and development.
  • Competitive compensation and benefits package.
  • Make a significant impact on the development of AI systems with real-world applications.

If you are passionate about computer vision, sensor data, and contributing to the advancement of autonomous systems, we encourage you to apply for the position of Annotation Specialist (2D, 3D, LiDAR) and become part of our innovative team.

For more enquiry:

Job Category: Operations
Job Type: Full Time
Job Location: Noida

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