Multimodal AI Data Annotation & LLM Evaluation Project
Led and contributed to a large-scale multimodal AI training and evaluation project supporting generative AI and computer vision systems.
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I am an experienced Generative AI Analyst with a strong background in data labeling, annotation, and AI training data development. My expertise spans prompt engineering, linguistic evaluation, and refining outputs from large language models, ensuring high standards of grammar, coherence, and alignment with human values. I have hands-on experience annotating diverse data formats, including text, images, and videos, as well as performing computer vision annotation tasks such as bounding boxes and segmentation. My advanced English proficiency and critical thinking skills enable me to deliver precise data transcription and curation for machine learning projects. I thrive in fast-paced, KPI-driven remote environments and am committed to supporting ethical and impactful AI advancements.
Led and contributed to a large-scale multimodal AI training and evaluation project supporting generative AI and computer vision systems.
Bachelor of Science, Computer Science
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