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Perle is seeking expert Galician transcribers to convert native-speaker audio into precise transcripts for AI model training. You will apply Perle's project style, handle speaker labeling, time-align transcripts, and manage disfluencies and non-speech events in real-world audio.
Work involves principled orthography decisions for dialectal and code-switched speech, with QA collaboration and periodic calibration. Flexible scheduling and per-task compensation support varying workloads.
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 Galician 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.
Galician (galego) as spoken across the autonomous community of Galicia, with variation between coastal and inland varieties. Project audio includes natural Galician-Spanish code-switching common in everyday speech.
A Coruna, Santiago de Compostela, Vigo, Ourense, Lugo, Pontevedra.
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.