Software Engineer, Data Quality

Description: Build tools to assess and improve training data and evaluations for frontier AI agents. Collaborate with the Quality and Intelligence (QNI) team and research engineers on quality workflows. Requirements: Strong software engineering fundamentals with experience in frontend, backend, and data systems. Proficiency in Python and modern web technologies (TypeScript, React). Experience in building end-to-end internal or user-facing products. Ability to design reliable APIs and data models. Strong communication skills for collaboration with research and quality teams. Benefits: Competitive compensation and comprehensive medical, dental, and vision coverage. Company-wide holiday break and unlimited access to AI tools. Lunch and dinner provided for in-office employees, along with additional perks like Equinox membership and 401k.