As robotics engineers are increasingly in demand, particularly in tech-driven regions, there exists a contrasting narrative of labor exploitation within AI training roles. Robotics engineers enhance workflows in various sectors, while many 'humans in the loop' face dire working conditions in developing countries, often earning meager wages for vital tasks that ensure AI functionality. Industry leaders acknowledge significant gaps in current AI capabilities, indicating a long road to reliable AI systems. This juxtaposition highlights the evolving but inequitable nature of modern technological work.