Startups · AI

AI Engineer, RL & Evals

Tastelabs · San Francisco · On-site

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About Tastelabs

We're giving AI models and agents taste | Join our mission to end AI slop. Backed by CRV.

About the role

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. How do you judge something non-verifiable, like design? To solve subjective domains, we have to solve how to grade the difference between slop and great without the need for humans in the loop.

More about this role

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

How do you judge something non-verifiable, like design? To solve subjective domains, we have to solve how to grade the difference between slop and great without the need for humans in the loop.

Types of problems you’d work on

Research different grading methods and rubrics

Design unique tasks that can capture elements of “taste” and design capabilities

Build agent harnesses and context layers

Work on scalable RL infra

Work with...

Read the full posting on Tastelabs's site ↗

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