What if your sharp ears and precision with language could directly improve how AI understands spoken Portuguese? We're looking for detail-oriented Audio Transcript Editors to review, clean up, and correct machine-generated audio transcripts in Brazilian Portuguese — ensuring…
Remote Language Data Jobs in North America 2026
539 remote jobs open to candidates in North America in Language Data. Updated daily.
What if your sharp ear and deep knowledge of Castilian Spanish could directly influence how AI understands spoken language?
What if your native ear for Castilian Spanish could directly shape how AI understands spoken language? We're looking for detail-oriented transcript editors in London — particularly those with deep familiarity with Spain's Spanish dialect — to review, correct, and refine audio…
What if your fluency in Simplified Chinese and your sharp ear for spoken language could directly influence how AI understands Mandarin for hundreds of millions of people?
What if your ability to catch every word, pause, and nuance in spoken Italian could directly shape how AI understands one of the world's most beautiful languages?
What if your ear for spoken Québécois French could directly shape how AI understands and processes real-world conversations?
What if your native ear for spoken Brazilian Portuguese could directly shape how AI understands one of the world's most widely spoken languages?
What if your native German fluency and sharp ears could directly influence how AI understands spoken language for millions of people worldwide?
What if your deep familiarity with Peninsular Spanish — its rhythms, expressions, and regional nuance — could directly shape how AI understands real human conversation?
What if your sharp ears and command of Simplified Chinese could directly shape how AI understands real human conversation?
What if your native Hindi fluency and sharp listening skills could directly shape how AI understands spoken language for hundreds of millions of people around the world?
BLEND is recruiting native-speaking voice talent for a multilingual audio recording project covering 27 language varieties, from Spanish and Portuguese to Arabic, French, Hindi and more.
Join Workbolt AI's Professional Voice Actors Talent Network to be considered for flexible contract opportunities with leading AI labs and technology companies. Members may support a range of future voice, speech, language, and creative AI initiatives.
micro1 is engaging Tamil Transcription Experts to contribute to a unique customer project focused on linguistic accuracy and digital content enrichment. In this role, you'll apply your expertise to help train next-generation AI systems.
micro1 is engaging Telugu Transcription Experts to contribute to a high-impact customer project focused on language data excellence. In this role, you'll apply your expertise to help train next-generation AI systems.
micro1 is engaging German Transcription Experts to contribute to a customer project focused on optimizing and advancing language technologies. In this role, you'll apply your expertise to help train next-generation AI systems.
Bilingual speakers of Indian languages and English to record and review the speech data frontier AI labs train and evaluate on. AfterQuery builds the expert evaluation data that frontier AI labs use to measure and improve their models.
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.
Ukrainian gives AI structure it cannot fake: cases, verb aspect, and agreement that must hold across the sentence, plus the ty and vy distinction. The model also slips Russian-influenced phrasing into Ukrainian, which a native reader spots at once.
Dutch catches AI on word order and on the je versus u choice that sets the tone of a sentence. It builds compounds and diminutives clumsily and rarely notices when Flemish usage would read differently from the Netherlands, both of which a native speaker feels at once.
Malay trips AI on register: formal written Malay and everyday colloquial speech pull in different directions, and the model blends them awkwardly.
Hebrew exposes AI through grammatical gender: verbs and adjectives agree with the person addressed, and the model routinely gets it wrong. It also blurs modern usage with biblical register and struggles with the root patterns a native writer navigates by instinct.
Tamil catches AI on its split between everyday spoken forms and formal literary Tamil: the model mixes the two, producing text no one would say aloud or write in earnest.
Polish gives AI a lot to break: seven cases, verb aspect, and agreement that must stay consistent across the sentence. It also fumbles the formal pan and pani and produces wording that parses but sounds unmistakably translated, which is where a native speaker steps in.