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

(Credit: @greentheonly/Twitter)

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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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Elon Musk

Tesla Full Self-Driving’s newest behavior is the perfect answer to aggressive cars

According to a recent video, it now appears the suite will automatically pull over if there is a tailgater on your bumper, the most ideal solution for when a driver is riding your bumper.

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Credit: Tesla

Tesla Full Self-Driving appears to have a new behavior that is the perfect answer to aggressive drivers.

According to a recent video, it now appears the suite will automatically pull over if there is a tailgater on your bumper, the most ideal solution for when a driver is riding your bumper.

With FSD’s constantly-changing Speed Profiles, it seems as if this solution could help eliminate the need to tinker with driving modes from the person in the driver’s seat. This tends to be one of my biggest complaints from FSD at times.

A video posted on X shows a Tesla on Full Self-Driving pulling over to the shoulder on windy, wet roads after another car seemed to be following it quite aggressively. The car looks to have automatically sensed that the vehicle behind it was in a bit of a hurry, so FSD determined that pulling over and letting it by was the best idea:

We can see from the clip that there was no human intervention to pull over to the side, as the driver’s hands are stationary and never interfere with the turn signal stalk.

This can be used to override some of the decisions FSD makes, and is a great way to get things back on track if the semi-autonomous functionality tries to do something that is either unneeded or not included in the routing on the in-car Nav.

FSD tends to move over for faster traffic on the interstate when there are multiple lanes. On two-lane highways, it will pass slower cars using the left lane. When faster traffic is behind a Tesla on FSD, the vehicle will move back over to the right lane, the correct behavior in a scenario like this.

Perhaps one of my biggest complaints at times with Full Self-Driving, especially from version to version, is how much tinkering Tesla does with Speed Profiles. One minute, they’re suitable for driving on local roads, the next, they’re either too fast or too slow.

When they are too slow, most of us just shift up into a faster setting, but at times, even that’s not enough, see below:

There are times when it feels like it would be suitable for the car to just pull over and let the vehicle that is traveling behind pass. This, at least up until this point, it appears, was something that required human intervention.

Now, it looks like Tesla is trying to get FSD to a point where it just knows that it should probably get out of the way.

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Elon Musk

Tesla Megapack powers $1.1B AI data center project in Brazil

By integrating Tesla’s Megapack systems, the facility will function not only as a major power consumer but also as a grid-supporting asset.

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Credit: Tesla

Tesla’s Megapack battery systems will be deployed as part of a 400MW AI data center campus in Uberlândia, Brazil. The initiative is described as one of Latin America’s largest AI infrastructure projects.

The project is being led by RT-One, which confirmed that the facility will integrate Tesla Megapack battery energy storage systems (BESS) as part of a broader industrial alliance that includes Hitachi Energy, Siemens, ABB, HIMOINSA, and Schneider Electric. The project is backed by more than R$6 billion (approximately $1.1 billion) in private capital.

According to RT-One, the data center is designed to operate on 100% renewable energy while also reinforcing regional grid stability.

“Brazil generates abundant energy, particularly from renewable sources such as solar and wind. However, high renewable penetration can create grid stability challenges,” RT-One President Fernando Palamone noted in a post on LinkedIn. “Managing this imbalance is one of the country’s growing infrastructure priorities.”

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By integrating Tesla’s Megapack systems, the facility will function not only as a major power consumer but also as a grid-supporting asset.

“The facility will be capable of absorbing excess electricity when supply is high and providing stabilization services when the grid requires additional support. This approach enhances resilience, improves reliability, and contributes to a more efficient use of renewable generation,” Palamone added.

The model mirrors approaches used in energy-intensive regions such as California and Texas, where large battery systems help manage fluctuations tied to renewable energy generation.

The RT-One President recently visited Tesla’s Megafactory in Lathrop, California, where Megapacks are produced, as part of establishing the partnership. He thanked the Tesla team, including Marcel Dall Pai, Nicholas Reale, and Sean Jones, for supporting the collaboration in his LinkedIn post.

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Starlink powers Europe’s first satellite-to-phone service with O2 partnership

The service initially supports text messaging along with apps such as WhatsApp, Facebook Messenger, Google Maps and weather tools.

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Credit: SpaceX

Starlink is now powering Europe’s first commercial satellite-to-smartphone service, as Virgin Media O2 launches a space-based mobile data offering across the UK.

The new O2 Satellite service uses Starlink’s low-Earth orbit network to connect regular smartphones in areas without terrestrial coverage, expanding O2’s reach from 89% to 95% of Britain’s landmass.

Under the rollout, compatible Samsung devices automatically connect to Starlink satellites when users move beyond traditional mobile coverage, according to Reuters.

The service initially supports text messaging along with apps such as WhatsApp, Facebook Messenger, Google Maps and weather tools. O2 is pricing the add-on at £3 per month.

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By leveraging Starlink’s satellite infrastructure, O2 can deliver connectivity in remote and rural regions without building additional ground towers. The move represents another step in Starlink’s push beyond fixed broadband and into direct-to-device mobile services.

Virgin Media O2 chief executive Lutz Schuler shared his thoughts about the Starlink partnership. “By launching O2 Satellite, we’ve become the first operator in Europe to launch a space-based mobile data service that, overnight, has brought new mobile coverage to an area around two-thirds the size of Wales for the first time,” he said.

Satellite-based mobile connectivity is gaining traction globally. In the U.S., T-Mobile has launched a similar satellite-to-cell offering. Meanwhile, Vodafone has conducted satellite video call tests through its partnership with AST SpaceMobile last year.

For Starlink, the O2 agreement highlights how its network is increasingly being integrated into national telecom systems, enabling standard smartphones to connect directly to satellites without specialized hardware.

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