Annotator I
Torc Robotics
Job Overview
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Job Description
About Torc Robotics
At Torc, we believe autonomous vehicle technology will transform travel, freight movement, and business operations. As a leader in autonomous driving since 2007 and now part of the Daimler family, the company is solely focused on developing software for automated trucks.
Meet the Team
The Annotator I role is designed for detail-oriented data annotators. You will support Torc’s data annotation and quality assurance pipeline by labeling sensor information from images and LiDAR to aid the training of AI systems used in autonomous trucks.
What You’ll Do
As an Annotator I, you will:
- Label objects using specialized tools to create 2D bounding boxes, 3D cuboids, and other shapes.
- Review pre-labeled data to ensure adherence to guidelines.
- Accept, reject, or correct annotations via our software.
- Provide clear notes when corrections are needed.
- Learn and master internal tools over time.
Key Responsibilities
- Accurately annotate objects in 2D and 3D environments.
- Follow guidelines consistently across tasks.
- Take ownership and adapt to procedural updates.
- Apply feedback to improve skills and workflow.
- Collaborate and communicate effectively with teammates.
What You’ll Need To Succeed
The ideal candidate is detail-oriented, can work efficiently on repetitive tasks, supports multiple projects, and communicates clearly in English. Independence, self-motivation, and the ability to adapt are key.
Perks of Being a Full-time Torc’r (Canada)
- Competitive compensation with bonuses and stock options.
- Medical, dental, and vision coverage.
- RRSP plan with a 4% employer match.
- Public Transit Subsidy (Montreal area only).
- Flexible schedule, generous paid vacation, and holiday office closures.
- Life insurance and additional benefits.
Key skills/competency
Annotations, 2D, 3D, LiDAR, Quality Assurance, Data Labeling, Guidelines, Communication, Detail-Oriented, Autonomous Tech
How to Get Hired at Torc Robotics
- Customize Resume: Highlight relevant data annotation experience clearly.
- Review Guidelines: Familiarize with annotation tools and standards.
- Prepare Examples: Showcase detail-oriented project work in your portfolio.
- Practice Communication: Sharpen clear, concise responses for interviews.
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