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Tastelabs, located in San Francisco, is seeking a Data Development Project Lead. In this role, you will oversee projects from scoping through delivery, ensuring quality and alignment across teams. If you have a passion for creativity, a technical background, and strong organizational skills, this position is for you.
Join us in building the data infrastructure layer for taste and contribute to shaping the future of AI. Ideal candidates should be detail-oriented, efficient, and able to manage ambiguity in a fast-paced environment.
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!
Taste is the ability to recognize quality and explain why. It's what separates a great piece of design from a mediocre one, a great piece of writing from a flat one, a great product from a forgettable one. We teach AI models what great looks like in the subjective domains, starting with design. The whole company is built around the idea that quality in these areas is real, measurable, and worth investing in. We hire people who care about craft. You don't have to be a designer. You do have to have strong opinions about quality in something, and be able to back them up.
You're the DRI of data development projects. You’ll own them end to end: scoping, research, expert staffing, quality routing, partner delivery, scope management, margin. You're the connective tissue between three groups that don't naturally talk to each other: the lab researcher who needs the data, the experts producing it, and the internal engineering team building the infrastructure. Your job is to make all three feel like they're working on the same thing. This role requires people that are passionate about quality, creativity, that obsess over details, that know how to get things done and how to bring others along the way. It required being somewhat technical. And someone who’s great at turning things into machines.