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Perle is hiring expert Hindi transcribers to convert native-speaker audio into precise, time-aligned transcripts. You will determine orthography, speaker attribution, and code-switching decisions within Perle's style guide.
The role includes collaboration with QA and occasional calibration sessions to maintain quality. Ideal candidates have 2+ years of professional transcription experience, strong Hindi accuracy, and comfort with Hinglish and regional accents.
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.
We are hiring expert Hindi 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.
Standard Hindi (Khariboli) and its regional spoken varieties across the Hindi Belt. Project audio includes formal registers, conversational Hindi, and natural Hindi‑English code-switching commonly known as Hinglish.
Primary speaker regions: Delhi, Mumbai, Uttar Pradesh, Madhya Pradesh, Bihar, Rajasthan.
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.