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Perle is seeking expert Tajik transcribers to convert audio recordings of native speakers into precise transcripts, adhering to the Perle style guide and timing conventions. You will determine orthography for dialectal and code-switched speech, mark non-speech events, and collaborate with QA for edge cases.
A paid pilot task and flexible per-task compensation accompany remote, international work on diverse Tajik audio projects.
We are hiring expert Tajik 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.
Tajik, a Persian variety written in Cyrillic in Tajikistan, with substantial Russian and Uzbek lexical influence. Project audio reflects everyday Tajik speech with potential code-switching with Russian.
Primary speaker regions: Dushanbe, Khujand, Bokhtar, Kulob, Khorog.
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.
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.