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FAITH ISAAC Data Labeling Specialist | AI Training Data Annotator England, United Kingdom • [email protected] • PROFESSIONAL SUMMARY Detail-oriented Data Labeling Specialist with hands-on experience annotating diverse datasets across text, image, and audio modalities for machine learning and AI applications. Adept at maintaining high accuracy under production volume targets while applying clear labeling guidelines. Comfortable working across time zones between the UK and Nigeria, with a strong track record of quality, consistency, and meeting tight deadlines on remote annotation projects. WORK EXPERIENCE Data Labeling Specialist (Contract) | CloudAnnotate Ltd Remote – England, UK • Jan 2026 – Present Annotate 1,000–1,500 text samples per day for large language model (LLM) fine-tuning projects, maintaining >98% inter-annotator agreement. Label named entities (NER), sentiment, intent, and toxicity across multilingual datasets including English, Yoruba, and Pidgin English. Participate in weekly calibration sessions to resolve edge-case labeling disputes and update annotation guidelines. Use Label Studio and Scale AI platforms to track throughput, quality scores, and feedback loops. AI Data Annotator | DataForge Nigeria Lagos, Nigeria (Hybrid) • Mar 2025 – Dec 2025 Labelled image datasets for object detection models, including bounding boxes, segmentation masks, and keypoint annotations using CVAT. Transcribed and tagged 500+ hours of audio recordings for