Remote QA Specialist - Audio Annotation & Diarization (Arabic)
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Key skills for this role
About the Role
Turing is seeking a QA Specialist for an audio annotation and diarization project involving Arabic. The role involves reviewing multi-channel audio recordings, verifying transcriptions and speaker identification, and ensuring data quality.
Key Skills for This Role
Responsibilities
- Evaluate multi channel audio recordings to ensure they meet strict technical and fidelity requirements
- Review human validated transcriptions to guarantee high accuracy and adherence to low error rate targets
- Validate precision of turn level and word level timestamps, as well as speaker identification
- Verify accuracy of all applied metadata, including demographic markers, contextual domains, and conversational tags
- Enforce strict safety and privacy standards by auditing sessions for PII, toxic, or sensitive content
- Assign clear pass/fail or agree/disagree statuses and provide detailed feedback
Requirements
- Exceptional ear for audio fidelity and ability to detect subtle background noises, channel bleed, or clipping
- Meticulous attention to detail for verifying word level timestamps and strict verbatim transcription rules
- Native proficiency in Arabic
- Ability to accurately assess complex multi speaker dynamics
Full Job Posting
Role Overview
- We are building a highly accurate, evaluation grade dataset of transcribed, multi channel audio recordings to assess multilingual, multi speaker AI systems.
- As a QA Specialist, you are the final line of defense, responsible for reviewing the end to end quality of both the audio recordings and the human verified annotations.
Key Responsibilities
- Evaluate multi channel audio recordings to ensure they meet strict technical and fidelity requirements.
- Verify channel isolation and confirm recordings were captured in appropriate, quiet environments.
- Review human validated transcriptions to guarantee exceptionally high accuracy.
- Confirm that transcripts correctly capture spontaneous, unnormalized speech.
- Validate precision of turn level and word level timestamps, as well as speaker identification.
- Verify accuracy of all applied metadata, including demographic markers, contextual domains, and specific conversational tags.
- Enforce strict safety and privacy standards by auditing sessions for PII, toxic, or sensitive content.
- Assess end to end quality of the annotation task, assigning clear pass/fail or agree/disagree statuses.
- Provide detailed, actionable comments and feedback whenever disagreeing with an annotator's work.
Requirements & Qualifications
- Exceptional ear for audio fidelity and the ability to detect subtle background noises, channel bleed, or clipping.
- Meticulous attention to detail for verifying word level timestamps and strict, unnormalized verbatim transcription rules.
- Native proficiency in Arabic.
- Ability to accurately assess complex multi speaker dynamics.
Ideal Backgrounds
- Linguists/Phonetics Experts: Deep understanding of natural, unnormalized speech patterns.
- Language Teachers: Exceptional, native level mastery of the target language.
- Professional Transcriptionists: Ear for audio fidelity, rigorous timestamping skills, and experience meeting strict accuracy targets.
Perks
- Work in a fully remote environment.
- Opportunity to work on cutting edge AI projects with leading LLM companies.
- Potential for contract extension based on performance and project needs.
Offer Details
- Engagement type: Contractor assignment/freelancer (no medical/paid leave).
- Duration of contract: 4 weeks.
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