A job scheduler in the context of AI refers to a system that manages the execution of tasks, typically in a distributed computing environment. It allocates resources and schedules jobs based on priority, dependencies, and available computational resources. Job schedulers optimize resource usage and execution efficiency, making them essential for training large-scale machine learning models.