Data Annotator – Hugo
3D mesh evaluation, point-cloud labeling, and spatial data validation to improve the fidelity of text-to-3D models
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I am a detail-driven Data Annotator specializing in high-quality, Human-in-the-Loop (HITL) workflows that power advanced AI systems. With deep expertise in LLM optimization, I focus on refining model responses through ranking, safety evaluation, and RLHF to ensure outputs are accurate, helpful, and free of bias. My experience spans the full spectrum of data modalities including text, image, video, and audio, transforming raw information into structured, model-ready datasets. Leveraging a strong technical background, I excel at interpreting complex guidelines and delivering high-precision 'ground truth' data that directly improves model performance in NLP and computer vision applications.
3D mesh evaluation, point-cloud labeling, and spatial data validation to improve the fidelity of text-to-3D models
Bachelor of Arts, English Language
West African Senior School Certificate Examination, General Secondary Education
Data Annotator (Agent) Remote