Grace Nyaga

Detail-oriented Computer Science student and experienced AI Data Annotator with a proven track record of delivering high-quality language datasets. Combines technical background in computer science with deep linguistic fluency in Swahili to perform data labeling, audio transcription, and semantic annotation. Experienced in meeting strict quality metrics (97%+ accuracy standards) under rigorous platform guidelines.

Adheres to data integrity and instructions seamlessly across large-scale AI training workflows.

AI Data Annotator - Remotasks

(2023-03 - 2024-03)

• Annotated and labeled large-scale Swahili datasets for NLP and machine learning model training.
• Performed high-accuracy text classification, semantic tagging, and localized audio transcription.
• Identified and logged linguistic edge cases, cultural nuances, and regional dialect variations to refine training criteria.
• Consistently maintained performance metrics exceeding the platform's benchmark quality and target accuracy standards.

Bachelor of Science - Computer Science - Daystar University (2028-11)

Diploma - Computer Science - Chuka University (2024-11)