Urdu Speech & Audio AI Specialist

As a Urdu Speech & Audio AI Specialist in our Global AI Community, you evaluate and validate speech AI systems—ensuring machine-generated voices sound natural, speech recognition captures intent accurately, and voice AI models learn from high-quality datasets. Your work directly impacts millions of users' voice-based AI experiences.
What You'll Do
Audio Evaluation & Quality Assessment
Evaluate AI-generated speech (TTS) for naturalness, pronunciation, rhythm, tone, and emotion
Identify transcription errors, pronunciation issues, and linguistic nuances in speech recognition (ASR) outputs
Conduct audio quality checks (loudness, noise, clipping, distortion, compliance)
Analyze audio using waveform and spectrogram tools to identify quality issues
Provide structured feedback for model improvement
Audio Editing & Technical Proficiency
Perform professional audio editing (segmentation, trimming, noise reduction, enhancement)
Apply audio restoration techniques to optimize speech samples
Prepare and validate speech content for training pipelines
Speech Linguistics & Dataset Validation
Apply phonetics and linguistics expertise to identify speech variations across accents and languages
Review voice recordings for clarity, consistency, and technical quality
Support creation and validation of high-quality speech datasets
Perform audio annotation and labeling for dataset integrity
Voice AI Project Support
Support TTS, ASR, voice similarity, voice generation, and conversational AI evaluation projects
Contribute to quality assurance workflows for voice technology projects
Document findings to inform model improvement
Qualification path
Mandatory Qualifications
Education / Professional Background
One of the following:
Bachelor's degree in Audio Engineering, Sound Engineering, Music Technology, Linguistics, Phonetics, Speech-Language Pathology, Computational Linguistics, or Computer Science (Speech/AI focus)
OR 2+ years professional experience in: audio production, dialogue editing, voice recording, podcast/audio post-production, speech dataset creation, or AI speech projects
Language Requirements
Native-level Urdu (C1/C2+) – Required for pronunciation and linguistic accuracy
Professional English (B1+) – Required for technical instructions and documentation
Technical Competency
Hands-on experience with at least one professional audio tool: Adobe Audition, iZotope RX, Pro Tools, Reaper, Audacity, Logic Pro, Cubase, or equivalent DAW
Working knowledge of: audio editing/restoration, noise reduction, spectrogram analysis, waveform interpretation, and audio quality assessment
Assessment & Verification Requirements
Completion of subject-specific qualification assessment (practical audio/speech evaluation)
Identity verification (IDV) process – Required as soon as possible after application completion

Work arrangement
Yes