TL;DR
Invent new ways to detect and scale data for frontier AI models.
• Arcada is seeking a Member of Technical Staff to invent new ways to detect and scale data that makes frontier AI models smarter. • You will develop scalable systems that generate, curate, and improve high-quality supervision across coding, multimodal, and agentic tasks. • Key Responsibilities Train and improve preference, reward, and ranking models from millions of human interactions. • Develop infrastructure for large-scale experimentation, model training, and specialize in online evaluation techniques. • Design systems that transform human preference data into reliable signals for downstream model evaluation and training. • Requirements Strong STEM background (Computer Science, Machine Learning, Data Science, Statistics, Math, Engineering, Physics, or related). • Experience building ML systems (trained preference models, built data pipelines, or worked on ML infrastructure). • Interest in how AI learns from human feedback and solving problems at the intersection of human-model interaction. Read full description View original posting →