However staffers told Reuters that cameras record street signs and other landmarks that can easily identify a driver's whereabouts. And I always joked that I would never buy a Tesla after seeing how they treated some of these people,' said one former employee 'It was a breach of privacy, to be honest. 'No one but you would have knowledge of your activities, location or a history of where you've been,' the motoring giant's privacy policy reads. The cameras aid in self-driving and parking. Tesla vehicles that are outfitted with self-driving capabilities are equipped with eight cameras. 'Knowing how much data those vehicles are capable of collecting definitely made folks nervous,' one ex-employee said. One of the perks of working for Tesla as a data labeler in San Mateo was the chance to win a prize – use of a company car for a day or two, according to two former employees.īut some of the lucky winners became paranoid when driving the electric cars. Workers shared them one-on-one or in small groups as recently as the middle of last year. Still, screenshots and memes based on them continued to circulate through private chats on the platform, several ex-employees said. 'People who got promoted to lead positions shared a lot of these funny items and gained notoriety for being funny,' a labeler told Reuters.Īt times, Tesla managers would crack down on inappropriate sharing of images on public Mattermost channels since they claimed the practice violated company policy. Nicknamed 'Wet Nellie,' the white Lotus Esprit sub had been featured in the 1977 James Bond film, The Spy Who Loved Me. The report says that those who shared the funniest clips even earned promotions with Tesla. Tesla employees, known as labelers, who work with the company's AI system to help it to identify things in every day life were privy to the footage. According to the report, the camera was able to record people's lives because it was charging. We could see their kids,' said the staffer. 'We could see them doing laundry and really intimate things. The leaked clips were all recorded on Tesla's integrated dashcams and were shared through the internal messaging network Mattermost between 20, reports Reuters.Īn employee told the agency that the clips spread 'like wildfire' through the company, with some even using the videos to make memes. Ability to travel up to 30% (Post-COVID).A bombshell new reports has exposed Tesla staffers as sharing videos of customers, including one showing a naked man approaching a car, another showing 'sexual wellness items' while yet another exposed Elon Musk as owning the white Lotus submarine from The Spy Who Loved Me.Experience leading and crafting technical projects, engaging with, and motivating change across multiple levels of IT executives and organizations.Excellent presentation skills for presenting advanced technical concepts.Outstanding written and verbal communications skills, with the ability to go deep with technical customer resources or to describe the value proposition of Mattermost to IT executives.Interest in working creatively with customers to understand technical and business requirements and implement solutions, including change management and technical engagement delivery.Expertise in open source and SaaS is a major advantage.Proficiency in understanding concepts and technologies in DevOps, IT operations, security, cloud, microservices, and container platforms.5+ years Technical Account Management, Customer Support, hands-on Sales Engineering or equivalent experience - developers interested in working directly with customers are highly encouraged to apply.Serve as the technical lead for all things related to the Mattermost deployment. Present detailed technical information and benefits of the Mattermost platform to a wide array of customers, including: line of business managers, developers, technical architects, and executives.Identify key integration opportunities to develop Mattermost as the central collaboration platform within DevOps and technical teams.Capture detailed documentation of customer design and deployment decisions, and onboarding challenges, for sharing with the broader customer and Mattermost teams.
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