Arabic Audio Transcriber & QA Specialist | Contractor | Worldwide Remote
Turing is seeking native Arabic-speaking audio transcribers and quality assurance specialists to help build an evaluation-grade dataset of transcribed, multi-channel audio recordings. This short-term freelance role is ideal for linguists, language teachers, or professional transcriptionists who have a sharp ear for audio fidelity and a meticulous eye for detail.
About Turing
Based in San Francisco, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing helps accelerate frontier research with high-quality data, advanced training pipelines, and top AI researchers specializing in coding, reasoning, STEM, multilinguality, multimodality, and agents.
Role Overview
This project involves reviewing and quality-assuring transcribed, multi-speaker Arabic audio recordings used to evaluate multilingual AI systems. Contributors record unscripted group conversations, which are then transcribed and diarized. As a QA Specialist, you serve as the final reviewer — validating both audio quality and the accuracy of human-verified annotations.
Key Responsibilities
- Audio Quality Assurance: Evaluate multi-channel recordings for technical fidelity, channel isolation, background noise, clipping, and gain issues.
- Transcription Verification: Review human-validated transcripts to ensure high accuracy, low word error rates (WER), and faithful capture of spontaneous speech including overlaps, interruptions, and false starts.
- Diarization Validation: Confirm accurate turn-level and word-level timestamps and speaker identification, including in complex overlapping dialogue scenarios. Validate JSON-formatted metadata and timestamp logic.
- Metadata & Content Review: Verify demographic markers, contextual domains, and conversational tags. Audit sessions to ensure no PII, toxic, or sensitive content is present.
- QA Reporting: Assign pass/fail or agree/disagree statuses and provide detailed, actionable feedback when disagreeing with an annotator's work.
Requirements
- Native proficiency in Arabic
- Exceptional ear for audio fidelity — able to detect subtle background noise, channel bleed, or clipping
- Meticulous attention to detail for word-level timestamps and verbatim transcription
- Ability to assess complex multi-speaker conversational dynamics
- Comfort reading and validating JSON-formatted data
Ideal Backgrounds
- Linguists / Phonetics Experts: Deep understanding of natural speech patterns, overlaps, false starts, and backchannels
- Language Teachers: Native-level mastery with strict adherence to verbatim transcription, including stutters, fillers, and disfluencies
- Professional Transcriptionists: Rigorous timestamping skills and experience meeting strict accuracy targets
Engagement Details
- Type: Contractor / Freelancer (no medical or paid leave)
- Duration: 4 weeks
- Environment: Fully remote
Shortlisted candidates will be reviewed internally and contacted for onboarding. This role offers the opportunity to contribute to cutting-edge AI development with potential for contract extension based on performance.
