Data Annotation Specialist

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Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.

As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.

Role Summary

As we implement ADAS features for Driver+ technology in our Rivian vehicles, labelling image data from our fleet is critical to its success. You will use a variety of tools to annotate datasets at large with the objective of improving the accuracy and safety of the product.

We are looking for 10+ Data Annotation Specialists to join our ADAS team in Serbia.

Responsibilities

  • Familiarize yourself with basic machine learning/neural network concepts to understand how your contributions train the product 
  • Continuous improvement towards above standard quality and quantity, as set by leadership
  • Consistent communication regarding labelling efficiency and effectiveness for continual refinement of processes
  • Collaboration with cross-functional teams to ensure consistent process implementation 
  • Communicate errors/corner cases/systematic misunderstanding with leadership

Requirements

  • High school diploma or equivalent 
  • 1 – 3 years of data annotation experience within the autonomous driving space
  • Experience building or iterating on existing processes and tools
  • Experience tracking and documenting all tasks and moving parts within data annotation and curation
  • Previous startup experience, or experience part of a team with daily/weekly changes and ability to keep track of these through communication over slack and weekly meetings
  • Ability to work independently with minimal supervision
  • High level of project ownership and personal accountability
  • High attention to detail
  • Adept with mouse and keyboard
  • High level of engagement and focus

POSTAVI ODGOVOR

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