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 the USA.
- 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.