Lead Data Quality Engineer for Frontier AI Systems

HUD is seeking a Lead Research Engineer, Data Quality to own how HUD measures, improves, and scales the quality of training data for frontier agents. You’ll lead the data quality team in building systems that evaluate thousands of tasks across RL environments, synthetic data, benchmarks, and domain-specific workflows. You will mentor engineers, design experiments, and collaborate with domain experts to drive rigorous data generation and evaluation.