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Micro1

Urdu Transcription Expert

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Role Title: Urdu Transcription Expert

Role Type: Contractor

Location: Remote

micro1 is engaging Urdu Transcription Experts to participate in a dynamic project for a valued customer. 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.

Scope of Work:

  1. Transcribe audio and video content in Urdu with exceptional accuracy and attention to linguistic nuances.
  2. Review and refine existing Urdu transcriptions, ensuring clarity, consistency, and fidelity to spoken content.
  3. Annotate transcripts with relevant metadata and speaker details as required by project guidelines.
  4. Collaborate remotely with fellow linguistic experts and project managers to address queries and improve processes.
  5. Apply in-depth knowledge of Urdu grammar, spelling, and colloquial expressions to deliver polished transcripts.
  6. Maintain a high standard of written and verbal communication throughout all project interactions.
  7. Meet deliverable quality standards and align with project timelines for submission of transcription tasks.

Preferred Qualifications:

  1. Native or near-native proficiency in Urdu, including strong command of regional dialects and contemporary usage.
  2. Demonstrated experience in transcription, translation, or linguistic annotation projects, particularly in Urdu.
  3. Expert attention to detail and a commitment to producing error-free transcriptions.
  4. Strong written and verbal communication skills, with the ability to provide clear feedback and explanations.
  5. Familiarity with digital transcription tools and best practices for managing multimedia content.
  6. Proficiency in using remote collaboration platforms to communicate and coordinate with project participants.
  7. Adaptability and eagerness to engage with innovative projects in language technology and data annotation.
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