Data Operations, AI Evals

Hi, we're The Browser Company 👋 and we're building a better way to use the internet.

Browsers are unique in that they are one of the only pieces of software that you share with your parents as well as your kids. Which makes sense, they're our doorway to the most important things — through them we socialize with loved ones, work on our passion projects, and explore our curiosities. But on their own, they don’t actually do a whole lot, they’re kind of just there. They don’t help us organize our messy lives or make it easier to compose our ideas. We believe that the browser could do so much more — it can empower and support the amazing things we do on the internet. That’s why we’re building one: a browser that can help us grow, create, and stay curious.

To accomplish this lofty task, we’re building a diverse team of people from different backgrounds and experiences. This isn’t optional, it’s crucial to our mission, as we need a wide range of perspectives to challenge our assumptions and shape our browser through a bold, creative lens. With that in mind, we especially encourage women, people of color, and others from historically marginalized groups to apply.

The Browser Company is hiring for Data Operations, AI Evals to help build the foundation for Dia, our browser-native AI assistant. This role is perfect for someone who loves turning complex user needs into structured training data and enjoys working at the intersection of AI and user experience.

You'll combine systematic thinking with meticulous attention to detail to create the datasets that help our models understand and assist users more effectively. Your work will be crucial to Dia's success, creating the training data that enables our AI to understand user intent and deliver helpful responses.

From evaluation sets to large-scale training data, you'll build the datasets that help us measure, improve, and scale our AI capabilities. This isn't just about data collection – it's about understanding our users deeply and translating their needs into examples that help our models learn and improve.

Overall you will...

• Build high-quality datasets for model evaluation and training, from targeted eval sets to large-scale training data

• Partner with engineers to ensure datasets are comprehensive, properly formatted, and easy to use

• Work with product owners to understand product goals and translate them into effective training data

• Collaborate …