$ cat jobs/expert-audio-transcriber-malay-perle-systems-94cd16b9a668.json
Expert Audio Transcriber, Malay
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: https://winnow.perle.ai/jobs/222cf812-620f-4346-9f55-87edc39efdf6 THE ROLE We are hiring expert Malay 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 Standard Malay (Bahasa Melayu) as used in Malaysia, Brunei, and Singapore, with regional and ethnic variation. Project audio includes natural code-switching with English (Manglish) and lexical influence from Hokkien, Tamil, and other regional languages. Primary speaker regions: Kuala Lumpur, Johor Bahru, Penang, Kota Kinabalu, Bandar Seri Begawan, Singapore. WHAT YOU WILL DO 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 u