Job
Description
Linguistic Analysis: Conduct linguistic analysis of the Assamese language to identify linguistic patterns, nuances, and cultural elements relevant to the conversational AI domain. Language Modeling: Collaborate with the development team to create and refine language models for conversational AI in Assamese, considering syntax, grammar, and vocabulary. Translation and Localization: Translate and localize content from English or other languages into Assamese, ensuring cultural appropriateness and linguistic accuracy. Quality Assurance: Conduct rigorous testing and quality assurance of the conversational AI system to verify the linguistic accuracy and naturalness of the output in Assamese. Data Collection and Annotation: Work on data collection, annotation, and validation tasks for training conversational AI models in Assamese, ensuring high-quality, diverse, and representative language data. Grammar and Style Guide Development: Develop and maintain a comprehensive grammar and style guide for Assamese to maintain consistency and quality in language usage within the conversational AI system. Collaboration and Communication: Collaborate effectively with cross-functional teams, including engineers, UX/UI designers, and product managers, to integrate linguistic insights into the development process. Feedback and Improvement: Provide feedback and suggestions for improving the conversational AI systems performance and linguistic capabilities in Assamese. Documentation: Create and maintain documentation related to linguistic guidelines, best practices, and standard procedures for Assamese language usage in the conversational AI system. Qualifications: Bacheloror Masters degree in Linguistics, Computational Linguistics, Assamese Language, or a related field. Proficiency in Assamese, including an in-depth understanding of grammar, syntax, and cultural nuances. Understanding with NLP (Natural Language Processing) and conversational AI technologies. Strong communication skills and the ability to work collaboratively in a team environment. Attention to detail and a passion for language and linguistic analysis. Previous experience in linguistic analysis, translation, or NLP projects is desirable. Ability to adapt to a dynamic work environment and handle multiple tasks simultaneously. Experience in working with language data, annotation tools, and linguistic databases. Understanding of machine learning concepts and their application to language processing.
