Freelance Remote | Arabic Linguistic QC Support
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Job Location:
Monthly Salary:
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
Work Location: Remote
Work Schedule: Flexible schedule
Engagement Model: Independent Contractor/Freelance
Estimated Start Date: April 3 2026
Language Needed: Arabic (EG-Ar/MSA)
Estimated duration: Approximately 21 hours in total
We are seeking a detail-oriented Linguistic Quality Control (QC) Specialist to support a Text-to-Speech (TTS) project. The role involves reviewing machine-generated transcriptions against recorded audio and ensuring high linguistic accuracy. This is a freelance remote opportunity with an immediate start.
Role Responsibilities
Listen to the recorded audio and compare it with the machine-generated transcriptions
Identify and correct errors in spelling grammar punctuation and meaning
Ensure the transcription accurately reflects the spoken content
Maintain consistency in linguistic quality and style
Follow project guidelines and meet deadlines
Provide feedback on recurring transcription issues if needed
Role Requirements
Native in Arabic EG-Ar/MSA
Bachelors degree or higher in Linguistics Philology or other related language-focused fields
Strong listening and comprehension skills
Excellent attention to detail and accuracy
Ability to work independently and meet deadlines
Basic computer skills and ability to work with text/audio tools
Preferred Role Requirements
Background in linguistics translation transcription or language-related fields
Previous experience in TTS ASR or transcription QC projects
Familiarity with different accents/dialects (especially for Arabic variants)
Experience working with annotation or linguistic QA tools
DataForce by TransPerfect is part of the TransPerfect family of companies the worlds largest provider of language and technology solutions for global business with offices in more than 100 cities worldwide.
We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world. Our department focuses on gathering enriching and processing data for Machine Learning in different AI domains.
