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English Language Specialist (Scotland-based)
Job summary
A leading AI company in Scotland is seeking a Language Specialist with native-level English proficiency to evaluate and improve linguistic data quality in text and audio formats. Responsibilities include data annotation, error identification, and ensuring adherence to quality standards, targeting those passionate about language and technology shaping the future.
Qualifications
- Must have native-level fluency in English and currently residing in Scotland.
- Education at least Bachelor's Degree from an accredited institution.
- Preferably a degree in Linguistics, English Language Studies, or Translation.
Responsibilities
- Accurately evaluate and annotate large volumes of text and audio data.
- Identify and categorize grammatical errors and inconsistencies.
- Ensure the linguistic data adheres to project-specific guidelines.
- Document and report linguistic issues and trends.
Skills
Education
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.
- 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.
- 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.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.