Audio Transcribers - Audio Annotation & Diarization (Arabic)
We are building a highly accurate, evaluation-grade dataset of transcribed, multi-channel audio recordings to assess multilingual, multi-speaker AI systems.
Hiring companyTuring
About the role
This project involves evaluating high-quality and realistic conversations representing diverse dynamics, contexts, and demographics.
Contributors record unscripted group conversations. These recordings are run through an initial transcription and diarization pass, which contributors then human-validate and correct. 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.
Perks of Freelancing With Turing:
- 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.
Engagement type : Contractor assignment/freelancer (no medical/paid leave).
Responsibilities
Audio Quality Assurance:
- Evaluate multi-channel audio recordings to ensure they meet strict technical and fidelity requirements.
- Verify channel isolation (ensuring no audio bleed) and confirm that recordings were captured in appropriate, quiet environments free from disruptive background noise, clipping, or low gain.
Transcription & Diarization Verification:
- Review human-validated transcriptions to guarantee exceptionally high accuracy and adherence to strict low error-rate (WER) targets.
- Confirm that transcripts correctly capture spontaneous, unnormalized speech, preserving natural conversational dynamics such as overlaps, interruptions, and false starts.
- Validate the precision of turn-level and word-level timestamps, as well as speaker identification, paying special attention to complex, overlapping dialogue , while comfortably reading and validating the underlying JSON-formatted data to ensure accurate metadata tagging and timestamp logic.
Metadata & Content Review:
- Verify the accuracy of all applied metadata, including demographic markers, contextual domains, and specific conversational tags.
- Enforce strict safety and privacy standards by auditing sessions to ensure no Personally Identifying Information (PII), toxic, or sensitive content is present.
Execution & Reporting:
- Assess the end-to-end quality of the annotation task, assigning clear pass/fail or agree/disagree statuses during your review.
- Provide detailed, actionable comments and feedback whenever disagreeing with an annotator's work.
Required skills
- 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.
- Ability to accurately assess complex multi-speaker dynamics.
Experience and education
Ideal Backgrounds include:
- Linguists/Phonetics Experts: Deep understanding of natural, unnormalized speech patterns. Expertise in accurately identifying and annotating complex conversational dynamics, including overlaps, false starts, and backchannels.
- Language Teachers: Exceptional, native-level mastery of the target language. Ability to strictly adhere to verbatim transcription guidelines, documenting every stutter, filler word, and disfluency without applying prescriptive grammar corrections.
- Professional Transcriptionists: Ear for audio fidelity , rigorous timestamping skills, and experience meeting strict accuracy targets. Rigorous approach to precise turn-level and word-level timestamping.
Language requirements
- Native proficiency in Arabic.
Assessment requirements
Shortlisted candidates will be reviewed by our team internally and will be reached out for onboarding.
Schedule details
Duration of contract : 8 weeks.
Eligibility
Work arrangement: Fully remote
More about the hiring companyTuring
