Perle

About Perle This 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 native level 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 Opportunity We are seeking a highly skilled and detail oriented English Speaker with native level fluency 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 do Data 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 non native phrasing. Quality Assurance: Ensure the linguistic data adheres to project specific guidelines and high quality standards. Feedback & Reporting: Document and report linguistic issues and trends, providing clear, constructive feedback to improve the overall language model performance. Qualifications Native Speaker & Residency: Must have native level fluency in English and currently residing in Scotland. 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.

A leading AI technology firm in the United Kingdom is seeking a Language Specialist to evaluate and improve linguistic data quality for AI/NLP projects. The successful candidate will have native-level English fluency with a Bachelor's degree, preferably in Linguistics or a related field. Responsibilities include data annotation, error identification, and ensuring high quality standards in linguistic data. This is an excellent opportunity to contribute to the advancement of global language models and technology.