Job Summary:
Perle is an AI infrastructure company specializing in expert-driven training data and applied AI products. They are seeking expert Tunisian Arabic transcribers to convert audio recordings into precise written transcripts, ensuring high-quality outputs for AI labs.
Responsibilities:
• Transcribe audio recordings into accurate, time-aligned written text following Perle's project-specific style guide
• Apply correct conventions for speaker identification, overlapping speech, disfluencies, fillers, false starts, and non-speech events such as laughter, background noise, and music
• Make principled orthographic decisions for dialectal, colloquial, and code-switched speech
• Flag ambiguous segments, uncertain speakers, and audio quality issues using project conventions
• Self-review every submission against Perle's quality bar before delivery
• Engage with QA reviewers on edge cases, calibration sessions, and style guide updates
Qualifications:
Required:
• Native fluency in Tunisian Arabic with lifelong residence or deep immersion in Tunisia
• Strong command of Modern Standard Arabic for orthographic decisions on Derja speech
• Working knowledge of French sufficient to transcribe French loanwords and code-switching
• Familiarity with regional Tunisian variation across coastal and inland areas
• At least two years of professional transcription, captioning, court reporting, broadcast, translation, or linguistic annotation experience
• Demonstrated accuracy at the word level under deadline pressure
• Comfortable with web-based annotation platforms and variable-speed audio playback
• Reliable high-speed internet, quality headphones, and a quiet workspace
• Ability to commit to defined volume per week during active project phases
Preferred:
• Background in Maghrebi Arabic linguistics, translation, or journalism
• Prior experience annotating Tunisian or Maghrebi speech data
• Working knowledge of Tamazight or Italian for additional lexical cases
• Familiarity with IPA or other phonetic transcription systems
• Experience with verbatim versus clean-verbatim transcription conventions
Company:
Our Mission: We’re bringing humanity to artificial intelligence. Founded in 2024, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.