Urdu Transcription Expert - Remote

RemoteJobsOne · Karachi, Karachi District; Sindh, Pakistan

This is a fully remote position , open to candidates based in Pakistan.

Pay: $10–$22/hr

Role Type: Contractor

Location: Remote

We are 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 Qualifications:

• 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.