The development of technologies to address machine translation and distillation of multilingual broadcast data depends heavily on the collection of large volumes of material from modern data providers. To address the needs of GALE researchers, the Linguistic Data Consortium (LDC) developed a system for collecting broadcast news and conversation from a variety of Arabic, Chinese and English broadcasters. The system is highly automated, easily extensible and robust and is capable of collecting, processing and evaluating hundreds of hours of content from several dozen sources per day. In addition to this extensive system, LDC manages three remote collection sites to maximize the variety of available broadcast data and has designed a portable broadcast collection platform to facilitate remote collection. This paper will present a detailed a description of the design and implementation of LDCs collection system, the technical challenges and solutions to large scale broadcast data collection efforts and an overview of the systems operation. This paper will also discuss the challenges of managing remote collections, in particular, the strategies used to normalize data formats, naming conventions and delivery methods to achieve optimal integration of remotely-collected data into LDCs collection database and downstream tasking workflow.