Global payments, rebuilt from scratch. Connect modern stablecoin rails to local fiat with the Latitude Settlement Network. Global fiat payouts and international on/off ramps through a single API. Backed by NEA.
About the role
When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to redefining the relationship between people and their vehicles for millions of customers.
What they're looking for
- Experience with Google Workspace, Microsoft Office, or a similar suite of tools
- Strong communication skills, written and verbal
- Attention to detail
- Ability to maintain prolonged focus and attention to detail while sampling large volumes of data
- The ability to report with clarity on bugs in tools, sample data, and labeling trends
- High School Diploma or GED equivalent with two years of employment experience required. Associate or Bachelor’s Degree preferred
More about this role
Latitude AI ( lat.ai ) is building the future of Ford’s autonomy roadmap to make travel safer, less stressful, and more enjoyable for everyone. Bringing this vision to scale, our fully in-house developed hands-free ADAS platform will debut on the all-new Ford Fathom in 2027.
When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to redefining the relationship between people and their vehicles for millions of customers.
As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.
The Labeling Operations team is responsible for producing high quality labels to train our deep learning model. We label vehicles, pedestrians, and other objects, assess label quality and impact on performance, and continuously deliver data that allows for the continuous iteration and improvement of our product.
The more team members learn, the better...
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