To excel as a Computational Linguistics Intern, you generally need foundational knowledge in linguistics, natural language processing (NLP), and programming skills in languages such as Python or Java, often supported by coursework or experience in computer science or related fields. Familiarity with NLP libraries (like NLTK, spaCy, or TensorFlow), data annotation tools, and version control systems such as Git is highly valuable. Strong analytical thinking, attention to detail, effective communication, and a collaborative mindset will help you stand out in team-based projects. These abilities are essential for supporting complex language technology tasks, learning quickly, and contributing meaningfully to interdisciplinary research and development environments.