Telugu Transcription Expert, Remote (India)

RemoteJobsOne

Mumbai Metropolitan RegionFresher2h agovia LinkedIn

About the Role

We are engaging Telugu Transcription Experts to contribute to a high-impact customer project focused on language data excellence. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity emphasizes the value of clear written and verbal communication to ensure seamless collaboration and precise deliverables.

Scope of Work

  • Transcribe audio, video, and text content from Telugu to written format with exceptional accuracy and attention to linguistic detail.
  • Annotate, segment, and label audio data using established guidelines to support AI model development.
  • Review and edit existing Telugu transcriptions for clarity, consistency, and correctness.
  • Provide cultural and contextual insights to enhance the linguistic authenticity of data sets.
  • Collaborate with project stakeholders through effective written and verbal communication channels.
  • Meet project milestones by delivering high-quality, timely transcriptions and annotations.
  • Identify and report language nuances, challenges, or ambiguities encountered during transcription tasks.

Requirements & Tech Stack

  • Native or near-native proficiency in Telugu, with excellent command of written and spoken language.
  • Demonstrated experience in transcription, annotation, or linguistic data processing (audio, video, or text).
  • Strong attention to detail, with proven skills in proofreading and editing Telugu content.
  • Ability to communicate clearly and effectively in both written and verbal forms.
  • Familiarity with linguistic annotation tools or transcription platforms is an advantage.
  • Understanding of cultural nuances and regional dialects within Telugu-speaking communities.
  • Capacity to manage deliverables autonomously in a remote, self-directed setting.

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