1 open role mentioning text data curation
Liquid AI
Liquid AI, spun out of MIT CSAIL, builds general-purpose AI systems that run efficiently across various deployment targets. We partner with enterprises in consumer electronics, automotive, life sciences, and financial services. This role offers a unique opportunity to lead applied post-training work end-to-end for text workloads, adapting Liquid Foundation Models for major enterprise clients. You will serve as the technical liaison between customer needs and model delivery, owning engagements from scoping to evaluation. Between projects, you will develop reusable applied workflows and tooling to enhance future delivery. This position is ideal for someone passionate about data quality, evaluation design, and making language models effective in production environments.