Language QC Lead

About this role

About the role: - This is a full-time language quality role supporting large-scale speech-data programs for AI development. - The company is an AI data business backed by PhysicsWallah. - The team is building speech datasets across multiple Indian languages for training and evaluating next-generation AI models. - Dedicated language teams are being created to maintain high-quality speech-data production. What you'll work on: - Review language data for quality and consistency. - Contribute to quality-control processes for speech and transcription datasets. - Support linguistic annotation workflows and language-quality evaluation. - Help create, review and validate annotation or language guidelines. - Contribute to language or annotation program management where relevant. - Apply native-level language expertise to improve dataset quality. What we're looking for: - Relevant experience with speech data or transcription is expected. - Experience in linguistic annotation is relevant to the role. - Candidates with language-review and QC experience are encouraged to apply. - Guideline creation and validation experience is useful. - Background in managing language or annotation programs is relevant. - Native-level linguistic expertise in at least one listed language is required. - Supported languages include Bengali, Tamil, Telugu, Kannada, Assamese, Urdu, Marathi, Gujarati, Odia, Punjabi and Malayalam. Good to know: - Candidates who can join within a 0–15 day notice period are preferred. How to apply: - Submit your application through the provided Google Form. Note: Applicants should have relevant experience in at least one of the listed languages. A 0–15 day notice period is preferred.