Tesla Seeks Data Labelers to Enhance Autonomous Vehicle and Robot Capabilities

Tesla Inc. is now hiring data labelers in Utah to work with data from its fleet of vehicles and Tesla bots. The role involves labeling data, including images and videos, to contribute to advancing the software that enables autonomous operation.

Key Responsibilities

The successful candidate will:

  • Work with in-house tools to label data from Tesla’s vehicles and humanoid bots
  • Contribute to the development of software that enables autonomous driving
  • Apply logic to multiple scenarios and be attentive to detail

Requirements

No previous experience in AI or data labeling is required. The ideal candidate is:

  • Adaptable and able to work in a fast-paced environment
  • Experienced with computers and other software
  • Knowledgeable about laws and rules of the road

Work Schedule

The job is full-time, with working hours from 9 am to 5:30 pm, five days a week, in Utah.

Importance of the Role

Tesla uses visual road data from its car fleet to train its software to respond autonomously. The company aims to enable autonomous driving with its autopilot and full self-driving (FSD) software, which currently serve as driver assistance systems.

Future Plans

Tesla CEO Elon Musk has expressed confidence that the company will start deploying self-driving Model 3 and Model Y vehicles in Texas and California for ride-hailing in 2025, subject to regulatory clearances. Additionally, Musk has announced plans to produce “genuinely useful” humanoid robots, called Optimus, in low production for use within its factories in 2025, with the aim of increasing production for other customers in 2026.

Tesla’s Autonomous Vehicle and Robot Development

The company’s FSD software has yet to enable fully autonomous driving and still requires active driver supervision. However, with the help of data labelers, Tesla aims to continue advancing its autonomous vehicle and robot capabilities, with the ultimate goal of making transportation safer and more efficient.

Conclusion

Tesla’s hiring of data labelers is a crucial step in the development of its autonomous vehicle and robot technology. As the company continues to push the boundaries of innovation, it is exciting to think about the potential impact of its technology on the future of transportation.