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TrainLoop is seeking a UX or product designer to translate complex model training workflows into intuitive interfaces for developers and researchers. You will ship products that simplify dense information and improve usability in AI tools.
Ideal candidates bring a portfolio of shipped product work, comfort with technical users, and a curiosity about how developers and researchers actually work, helping shape long-horizon AI tasks through thoughtful interaction design.
A UX or product designer in this setting usually turns complex model training workflows into clear, usable interfaces. A strong candidate brings a portfolio of shipped product work, comfort with technical users, and the ability to simplify dense information. Since the company builds tools for long horizon AI tasks, the designer should be curious about how developers and researchers actually work.
AI changes design work by speeding up mockups, copy, and research synthesis, so the craft shifts toward judgment and problem framing. What stays human is understanding user intent, deciding what matters, and testing real behavior. A designer here helps shape how people interact with specialized models, not just how screens look.
This role builds AI experience by designing for model training and evaluation workflows, where the user is often technical. A designer can grow that skill by learning how post training works, studying developer tools, and prototyping with AI features. Over time, that knowledge becomes a strong edge in AI product design.
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
TrainLoop is a post-training research and product lab that trains specialized models for long-horizon tasks, per the company.