MangoDesk
San Francisco, CA
AI data pipelines for custom evals and post-training datasets
About
MangoDesk builds a platform that generates bespoke annotation pipelines from natural language descriptions for AI teams to create custom evaluations and post-training data. Users can bring their own annotators or use MangoDesk's vetted pool, with auto-generated interfaces, instructions, and QA systems. It accelerates data workflows for improving AI models in software engineering and knowledge work.
More AI companies
AI companies
Open jobs
2MangoDesk
San Francisco, CA
Leads ambiguous, cross-functional projects across engineering, operations, and go-to-market, including delivery of reinforcement-learning environments for strategic customers. Requires strong technical and analytical skills, ownership, communication, and entrepreneurial problem solving.
MangoDesk
San Francisco, CA
Founding Engineer builds production-grade backend/full-stack systems for AI data infrastructure at a YC-backed startup, tackling scalability and owning end-to-end execution from ambiguous requirements. Prefers 2+ years SWE experience, ideally at startups with applied AI/RL knowledge.