A remote control robot generates valuable physical datasets only when the teleoperation stack records operator intent, robot state, sensor observations, actions, task outcomes, and failure labels across perfectly aligned timestamps. Missing even a single layer renders the data unsuitable for imitation learning or policy evaluation.