Expert Audio Transcriber, Tunisian Arabic

ABOUT PERLE Perle is an AI infrastructure company building expert-driven training data, evaluation systems, and applied AI products for the world's leading labs and enterprises. Our partners include xAI, Samsung, ELM, and Unisys. Headquartered in San Francisco with experts across more than forty markets, we specialize in the work that requires real human judgment: domain expertise, linguistic nuance, and cultural fidelity that generic data vendors cannot deliver. Apply here: THE ROLE We are hiring expert Tunisian Arabic transcribers to convert audio recordings of native speakers into precise, conventionally formatted written transcripts. The work powers speech recognition, dialogue, and evaluation systems for major AI labs. Audio ranges from clean studio recordings to natural conversational speech in real-world acoustic conditions. You will be working at the level of expert linguistic judgment. This is not data entry. Decisions about orthography, code-switching, speaker attribution, disfluencies, and non-speech events shape the quality of every model trained on your output. DIALECT AND SCOPE Tunisian Arabic (Tounsi / Derja), a Maghrebi variety with substantial Berber, French, and Italian lexical influence. Project audio reflects everyday Tunisian speech with frequent code-switching to French. Primary speaker regions: Tunis, Sfax, Sousse, Kairouan, Bizerte, Gabes. WHAT YOU WILL DO Transcribe audio recordings into accurate, time-aligned written text following Perle's project-sp