Senior Designer
Taste Labs
Senior Designer
Taste Labs
Design taste data for training AI models
About the company
Taste Labs is building the data and infrastructure layer for taste.
Our goal is to end AI slop. To make AI feel right, not just be correct. We raised $18.5M in seed co-led by Amplify and CRV, and most frontier labs are already customers.
AI has nailed objective domains and can generate anything. The hard part left is judgement: what fits, what feels like you, what's actually GREAT. We're turning that into something measurable, starting with design.
We do it on two sides: building the post-training data and RL environments that teach taste to frontier models, and the context and verification tools agents need to produce work that's more creative, more on-brand, more right.
If that problem excites you, you'll like it here!
About the role
This is not a typical design role. At Taste, design is the product. You will help to decode the fuzzy problem of what “great” means in design and have this wisdom feed into interfaces, eval design, and crafting products with our engineering and research teams.
If you have exceptional taste, a high bar for quality, strong opinions, and a diverse design background, this is for you.
YOU MIGHT BE A FIT
6+ years designing at brand-forward companies
Your experience ranges from product design, to brand and beyond
You have strong design fundamentals
You have strong opinions and are great at collaborating with engineers
You want to approach the question of "what is great design" like a researcher
NOT A FIT IF
Your recent work leans too heavily enterprise/too safe
You're a brand only designer that has not touches product design
You need a large design org to be productive
Design taste data for training AI models
Taste Labs builds the data and infrastructure layer that AI systems use to judge subjective quality, starting with design. The company measures, classifies, and codifies aesthetic judgment into data models that systems can train on, then supplies the context, evaluation, and verification tooling that sits on top. It works with frontier labs on post-training to improve taste and design capability, and with app developers, coding agents, and creative-tool companies checking the design work their models produce. Unlike benchmarks that score correctness, it targets the harder question of whether output is good, on-brand, or right for a particular person. The company's goal is to give models reliable judgment by turning taste into training data instead of leaving it to prompt engineering.
Explore more opportunities at Taste Labs