The development of linguistic corpora has been instrumental in advancing the field of corpus linguistics, providing researchers with vast collections of authentic language data to analyze. However, the process of creating high-quality, representative, and useful corpora is fraught with a number of significant challenges. This article examines some of the key challenges faced in the creation of linguistic corpora, including issues related to data collection, corpus design, annotation, and corpus management. It discusses the complexities involved in sampling, balancing, and representing the diverse range of language use across different genres, registers, and modalities. The article also explores the challenges of ensuring data quality, consistency, and replicability, as well as the ethical and legal considerations surrounding corpus compilation. Furthermore, it highlights the technological and computational hurdles associated with the processing and analysis of large-scale language data. By addressing these multifaceted challenges, the article underscores the importance of rigorous methodologies and ongoing research to overcome the obstacles in creating linguistic corpora that can fully capture the richness and complexity of natural language.