Tesla’s driver-assist software relies on a small army of data annotators who review thousands of hours of footage from Tesla owners and the company’s in-house test drivers. The annotators gradually teach the company’s AI how to behave like a human driver, one 30-second clip at a time. Tesla employs dozens of annotators who make about $20 per hour in a full-time role at the company. Projects on the teams can take anywhere from months to days and can vary from workflows that require staff to label short clips to trace still images or overlay satellite data. Workers can run into data from any number of countries in a single workflow, meaning they must constantly be aware of the different road rules for each region. Is annotation data enough for autopiloting tesla’s braking systems project ?

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