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Job Title


English Language Specialist (Australian-based )


Company : Perle AI


Location : Sydney, New South Wales


Created : 2026-04-18


Job Type : Full Time


Job Description

English Language Specialist (Australian-based)About PerleThis is your chance to be a core contributor to the future of Artificial Intelligence. perle.ai is advancing the next generation of global language models (LLMs) and we need your linguistic expertise. We call our team the "Experts"because we believe that AI is only as smart as its teachers. As a Language Specialist, you will be an indispensable voice, using your nativelevel knowledge of English to train AI for cultural precision, accuracy, and true human understanding. If you''re passionate about language and ready to shape technology that impacts the world, we want you.The OpportunityWe are seeking a highly skilled and detailoriented English Speaker with nativelevel fluency who is based in Australia to evaluate and improve the quality of linguistic data, specifically in text and audio formats, for an AI/Natural Language Processing (NLP) project with perle.ai.What you''ll doData Annotation & Evaluation: Accurately evaluate and annotate large volumes of text and audio data in English for linguistic quality, accuracy, clarity, and cultural appropriateness.Error Identification: Identify and categorize grammatical errors, syntactic issues, semantic inconsistencies, transcription errors, and inappropriate or nonnative phrasing.Quality Assurance: Ensure the linguistic data adheres to projectspecific guidelines and highquality standards.Feedback & Reporting: Document and report linguistic issues and trends, providing clear, constructive feedback to improve the overall language model performance.QualificationsNative Speaker & Residency: Must be a nativelevel fluency speaker of English and currently residing in Australia.Education: Bachelor''s Degree (minimum) from an accredited institution.Linguistic Background (Preferred): A degree in Linguistics, English Language Studies, Translation, or a related field is highly preferred. #J-18808-Ljbffr