Language Resource Manager

1 week ago

Mumbai Metropolitan Region, India TIH | IIT Bombay Full time ₹ 9,00,000 - ₹ 12,00,000 per year

Job Summary
:

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.

Key Responsibilities
:

  • 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

Education Qualifications & 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

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