AI Annotator
2 weeks ago
Key Responsibilities
- Use specialized annotation software to accurately draw 3D bounding boxes around objects (e.g., vehicles, pedestrians, cyclists) detected in radar scans.
- Carefully identify, classify, and tag objects according to a detailed set of client guidelines and categories.
- Review sequences of radar video, ensuring object tracking and annotation consistency across multiple frames.
- Maintain high standards of quality and accuracy, meticulously following all project rules.
- Meet and exceed daily and weekly productivity and quality targets.
- Collaborate closely with Team Leads and Quality Assurance (QA) staff to understand feedback and continuously improve annotation quality.
- Adhere to strict data confidentiality and security protocols.
Required Skills and Qualifications
- Experience:
A minimum of
6-12 months of professional experience
in a data annotation or data labeling role. - Technical Skill (Priority):
experience with
3D bounding box annotation
is a strong preference. - Technical Skill (Required):
experience with
2D bounding box or polygon annotation
is required. - Attention to Detail:
focus and patience for precise, repetitive tasks. Must be able to spot small errors or inconsistencies. - Spatial Reasoning:
Strong ability to visualize objects in a 3D space, even when presented with 2D or radar data. - Computer Literacy:
Tech-savvy and able to learn new, complex software tools quickly. - Communication:
Good English comprehension and communication skills. - Adaptability:
Ability to work effectively in a fast-paced, target-driven environment.
Preferred (Nice-to-Have) Qualifications
- Prior experience annotating radar or LiDAR sensor data.
- Previous work on projects related to autonomous driving (AV) or computer vision.
- Familiarity with common data annotation platforms.
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