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Tesla ramps hiring for Autopilot data labeling team in Gigafactory New York

(Credit: @greentheonly/Twitter)

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5 years ago

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A recent post from Tesla’s official LinkedIn account has indicated that the company is looking to bolster its Autopilot team with a number of dedicated data annotation-related job openings. Quite interestingly, the pertinent job listings are for Buffalo, the location where Tesla’s Solar Roof and Supercharger factory, Gigafactory New York, is located. 

As per the electric car maker’s LinkedIn post, labeled data is a critical ingredient for training powerful Deep Neural Networks, which are pivotal to Tesla’s goal of achieving autonomy. A look at Tesla’s Careers Page indicates that the electric car maker has three job listings for its Data Annotation team in Buffalo: a Data Annotation Specialist, a Data Annotation Supervisor, and a Data Annotation Lead. 

A description of Tesla’s Autopilot Data Annotation team follows: 

“The Autopilot Data Annotation team is responsible for annotating images, videos and other camera data. Accurate data is the foundation for training our neural networks, and serves as the ground truth for Autopilot’s artificial intelligence. The team works cohesively with engineering teams to launch customer-facing releases: Navigate on Autopilot; Smart Summon; Traffic Light and Stop Sign Control. Accurate data annotation is critical to Tesla achieving full self-driving.”

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So far, posts for a Data Annotation Specialist seem to be unavailable already, with the company taking the job listing’s webpage offline. Job listings for a Data Annotation Lead and a Data Annotation Supervisor are still accessible from the electric car maker’ Careers Page. All three posts were posted by the electric car maker last month.

Tesla’s approach to full self-driving primarily relies on cameras and Neural Networks, which are trained through real-world images gathered by the fleet. Data labeling provides pertinent information for the Neural Network by tagging images with necessary information. The capabilities of Autopilot and Full Self-Driving to recognize lane lines, stop signs, and traffic lights, to name a few, were made possible thanks to extensive data labeling on Tesla’s part. 

Considering that Tesla’s vehicles upload massive amounts of data every day, it is quite unsurprising to see the electric car maker ramping its hiring efforts for its Autopilot Data Annotation team. Tesla AI Director Andrej Karpathy, after all, has teased this in the past that while the electric car maker only has a few dozen actual Autopilot engineers, the company employs a great number of workers who perform labeling. The company’s recent LinkedIn post suggests that it continues to grow this team until today. 

Don’t hesitate to contact us for news tips. Just send a message to tips@teslarati.com to give us a heads up.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla just told us twice that Model Y L is coming to the U.S.

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2 minutes ago

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July 2, 2026

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Credit: Tesla

Tesla just told us twice that the Model Y L is coming to the U.S., and two social media posts definitely just tipped the company’s hand, as if they wanted it to be any other way.

The two social media posts basically confirm that the slightly longer version of the Model Y will be heading to the United States soon, and many have speculated that the company could launch the vehicle as soon as this weekend.

The first post was directly from Tesla, and it showed an incredibly long Dachshund, with words above that said, “Looking forward to the long weekend.”

Anyone who knows Tesla knows the company loves to troll its fans and have fun, and this is a perfect example of that. While not a direct acknowledgement, Tesla is very involved on social media, especially CEO Elon Musk’s platform X, and the company is well aware of what is being discussed within the community.

With recent sightings of Model Y L test mules in California, peeks of the vehicle at Giga Texas, and a large call for the car to come to the U.S., Tesla is simply stoking conversation with this.

However, the company also made another move that was recognized on social media. Tesla has a large gallery that includes photos of its products so media and others can use them. This gallery applies to the U.S. market specifically, unless otherwise specified.

Tesla uploaded a Model Y L to the Gallery last night:

This seems to be another indication that the Model Y L is coming to the United States.

Musk said last year that the Model Y L could make its way to the United States late this year, but it was not something that was set in stone by Tesla. The company definitely needs to establish something in the SUV market that is larger than the Model Y, and the Model Y L might be the answer.

Even still, there are consumers out there who would love Tesla to develop something even larger, like a competitor to the Tahoe or Expedition. Tesla has not really given much of an indication that it will go in that direction.

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Tesla is using vehicle microphones to improve build quality: here’s how

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1 hour ago

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July 2, 2026

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Credit: Tesla

Tesla is using the vehicles’ internal microphones to improve build quality, Vice President of Engineering Lars Moravy revealed recently.

It’s no secret that Tesla is always finding ways to make its manufacturing operations more efficient, accurate, and valuable. Constantly trying to make its cars better, the company has never placed any restrictions on what it will do to improve everything from panel gaps to paint.

As Teslas have been driving autonomously on the property of the Gigafactory Texas plant for a while now, Moravy revealed to Herbert Ong in a new interview that cars rolling off production lines now autonomously navigate themselves through a bumps, squeaks, and rattles (BSR) portion of the line. This helps to identify any loose or improperly installed internal parts.

The cabin’s microphones, which are used for a variety of things in ownership, simultaneously monitor any noises inside the vehicle while it rolls through the BSR portion of the production line. Moravy actually revealed that Tesla is trying to build “Full Self-Hearing,” an AI system that will detect minor imperfections so they can be corrected before delivery.

It’s no secret that build quality is something that Tesla struggled with as it scaled to a fully massive production operation that manufactures over 1.6 million vehicles per year. However, in recent years, especially, there have not been as many complaints. Tesla has truly improved upon its build quality and paint quality over the past several years, especially in the U.S.

Tesla’s ‘megacasts’ are key to massive build quality improvements

While those improvements have been evident, there are still some complaints; no automaker is perfect with this. But this step will now ensure that every single car that rolls off the production lines at Gigafactory Texas will be void of any creaks, squeaks, or squeals when it leaves the factory.

This measure is one of the most unique we’ve seen in terms of a strategy to avoid build quality issues, but it is not exclusive to Tesla.

Ford uses acoustic analysis AI to find abnormalities in seat motors, climate control units, and other components. Suppliers and OEMs will also use microphone arrays or particle velocity sensors in end-of-line stations.

The full interview with Lars Moravy is available below:

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Investor's Corner

Tesla crushes Wall Street expectations, beats delivery estimates by over 15 percent

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3 hours ago

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July 2, 2026

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Tesla (NASDAQ: TSLA) beat Wall Street expectations of 406,000 vehicles delivered in Q2 by reporting 480,126 deliveries for the three months ending in June.

Tesla reported it delivered 467,762  Model 3 and Model Y units, while 12,364 Model S, Model X, and Cybertrucks switched hands during the quarter. The Model S and Model X were officially sunset this past quarter and will no longer be part of the company’s Production & Delivery reports moving forward.

The quarter is a pleasant surprise and a good rebound from Q1, when Tesla slightly missed the Wall Street consensus of 365,645 cars by reporting 358,023 deliveries for the first three motnhs of the year.

Energy storage deployments also provided some strength in Tesla’s delivery report, hitting 13.5 GWh for Q2. This is a particular division of Tesla’s business that has been overwhelmingly robust over the past few years, truly being a strong point of the company’s overall model.

For the year, Tesla analysts still predict deliveries to trend in the 1.69 million unit region, a modest 3 to 5 percent increase from the 1.64 million cars the company delivered last year. Tesla will likely return to more sequential and noticeable year-over-year growth as the Cybercab project starts to ramp up considerably in the next few years.

Tesla has some other potential catalysts to spur vehicle deliveries, too. Not only is it expecting Cybercab to truly start making a change in the next few years, but other vehicles could be entering the company’s lineup.

Tesla sends production Cybercab with no steering wheel, pedals to on-road testing

The slightly longer Model Y L has been a highly speculated release candidate in the U.S. It has already done incredibly well in China, and U.S. buyers have been wanting slightly more interior space than the Model Y. Now that the Model X is gone, it is more needed than ever.

Q2 highlights a pretty stable automotive division within Tesla, and no true concerns arise from these figures, especially considering it managed to beat expectations convincingly.

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