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# Data Annotation Specialist

- **Company:** Bot Auto
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Big Data, Machine Learning, Proprietary Software, DataOps, Lidar
- **Published:** May 23, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b49f611da0bb337f

## About the Role

Do you have experience in Technical Proficiency?, * Extreme Attention to Detail: A proven track record of identifying small discrepancies in complex datasets or visual environments.

 * Communication Skills: Outstanding verbal and written communication abilities; ability to clearly explain complex visual scenarios to technical teams.
 * Technical Aptitude: Comfortable working with proprietary software tools and navigating 3D environments (Point Clouds/Bird's Eye View).
 * Adaptability: Ability to thrive in a fast-paced startup environment and pivot between perception and mapping tasks as project priorities shift.
 * Professionalism: High degree of self-discipline and the ability to work independently while meeting rigorous quality and throughput targets., * Prior experience in data annotation for autonomous driving, robotics, or computer vision.
 * Understanding of autonomous vehicle sensor modalities (LiDAR, Radar, Cameras).
 * Experience with 3D labeling tools.
 * Familiarity with HD maps.

## Description

We are seeking a highly meticulous and motivated Data Annotation Specialist to join our team. High-quality data is the lifeblood of our "Physical AI" and the foundation of our autonomous driving system. In this role, you will be responsible for creating, refining, and validating the ground-truth data that powers our perception and mapping stacks. You will work directly with our engineering teams to ensure our models are trained on high-fidelity, ground-truth data that meets our rigorous safety standards., * 3D Perception Annotations: Perform high-precision 3D instance labeling, semantic segmentation, and bounding box annotation on multi-sensor data (LiDAR, Camera, Radar, etc.).

 * Vectorized Map Annotation: Annotate and edit high-definition vectorized map elements, including lane geometries, traffic signals, and regulatory features.
 * Human-in-the-Loop Refinement: Examine and refine autolabeling results, identifying edge cases where automated systems may falter.
 * Quality Assurance: Review auto-generated labels against strict pass/fail criteria to ensure only the highest quality data enters our training pipelines.
 * Cross-Functional Feedback: Collaborate closely with Machine Learning and Mapping engineers to provide feedback on labeling guidelines and tool improvements.
 * Documentation: Assist in maintaining clear and concise labeling SOPs (Standard Operating Procedures) to ensure consistency across the data operations team.


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