Language Resource Manager

Job Description

We are looking for Linguistics experts with team management experience, extensive experience working on NLP projects and proficiency in 2 or more languages from any one of the following language groups: - Bengali, Oriya, Assamese, Bodo, Manipuri - Kannada, Malayalam, Tamil, Telugu - Hindi, Maithili, Urdu, Dogri, Kashmiri, Punjabi, Gujarati The Language Resource Manager will have two-fold responsibility: - Support development and improvement of our LLM, ASR, and TTS models by providing linguistic expertise - Manage the work of freelancing language resources for the assigned group of languages. Job Description - ? Linguistic support - Collaborate with machine learning engineers to understand data requirements and to identify opportunities to integrate linguistic knowledge into model development - Create guidelines for data annotation/validation projects based on data requirements - Evaluate the linguistic quality of model outputs and provide feedback for improvement ? Management - Collaborate with data sourcing team to understand data processing timelines and operational constraints - Set up operational pipelines for processing sourced data and delivering processed data to model development team - Source freelancing resources for various tasks for languages from the assigned language group, assign them data annotation task and track and manage their work Qualifications and Experience: ? Master's or PhD in Linguistics or Computational Linguistics. ? At least 3 years of experience working on NLP projects, providing language data annotation for Machine Learning or GenAI projects. ? Experience creating guidelines to be followed by language resources preferred. ? Project co-ordination experience with 2+ years of team/project management experience preferred. ? Experience working with low resource languages is a plus. Technical Skills: ? Linguistic Analysis: Strong understanding of linguistic principles and the ability to analyze linguistic data. ? Problem-Solving: Ability to identify and solve linguistic challenges related to language technology. ? Collaboration: Excellent communication and collaboration skills to work effectively with machine learning engineers and other team members. ? Management: Ability to set up processes and pipelines, track and manage work of language resources