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Perle is hiring expert Azerbaijani transcribers to convert audio into precise transcripts, following a project style guide. You will judge orthography, speaker attribution, and non-speech events to ensure high-quality outputs for AI model training.
Join a team that works with Perle's linguistic leads and QA, with pilot tasks and flexible volumes based on client projects. Remote work is available for qualified candidates.
We are hiring expert Azerbaijani 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.
Azerbaijani (Azerbaijani Turkish) in its Northern variety (Azerbaijan, Latin script) and Southern variety (Iranian Azerbaijan, Perso-Arabic script). The project lead will define the target variety.
Primary speaker regions: Baku, Ganja, Sumgait, Mingachevir, Tabriz, Urmia.
Perle hires experts on the basis of skill, language proficiency, and demonstrated quality. We welcome applicants from every background and every region where our target languages are spoken.
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.