17D AGO

Urdu Transcription Expert

micro1 / Urdu Transcription Expert

RATE

$10 - $22/HR

LOCATION

REMOTE (GLOBAL)

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DESCRIPTION

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

REQUIREMENTS

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