Data Annotator/Saisie de données

About the Company

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.

A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.

Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.

Meet the Team: 

We are looking for Data Entry Specialists to work as Video Data Annotators in support of Torc's data annotation and quality assurance pipeline. Video Data Annotator tasks involve drawing boxes around objects of interest on video frames and selecting properties of the object using specialized software tools.

The annotation team is responsible for annotating video data that is used to train the machine learning models behind our autonomous vehicle projects. The annotation team's work is crucial to ensure that the machine learning models can detect and identify objects of interest on the road, such as, other vehicles and obstacles. The Data Annotator will work closely with those within the annotation team to provide accurate and high-quality data annotations that will in turn make autonomous vehicles safer.

As a Video Data Annotator, you will have the unique opportunity to be part of a team working on future technology to make self-driving trucks safer!

This is a work-from-home (WFH) position. Candidates are required to have great attention to detail and precision, are comfortable doing repetitive work with data, and will be responsible for annotating large datasets.

What you'll do: 

• Annotate (label) image and video data using various internal software programs (training is provided).
• Understand and apply instructions to annotation tasks.
• Maintain ownership of each annotation assignment, and respond to any changes in procedure or feedback from the quality assurance process.

What you’ll need to Succeed: 

• High school diploma or equivalent
• Meticulous and detail-oriented
• Able to maintain sharp focus and speed, even with repetitive tasks
• Willing to support several projects at one time, and to accept reprioritization as necessary
• Self-motivated to work independently, even with minimal supervision 
• Good communication …