To thrive in a Language Technology role, you need strong expertise in computational linguistics, programming (such as Python or Java), and a background in linguistics or language studies, often supported by a relevant degree. Familiarity with natural language processing (NLP) frameworks, machine learning libraries, and tools like TensorFlow, spaCy, or NLTK is highly advantageous. Strong problem-solving skills, attention to detail, and effective communication abilities are key soft skills in this field. These competencies are essential to developing innovative language-based applications and collaborating with interdisciplinary teams to solve real-world language challenges.