Expert Annotator
Face annotation, Object annotation
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I am an experienced AI and LLM specialist with a strong background in data labeling, annotation, and model evaluation across text, image, video, and audio formats. My hands-on work spans leading platforms such as Mindrift, UHRS, Oneforma, Appen, and TestIO, where I have contributed to prompt engineering, search relevance optimization, and large language model (LLM) behavior refinement. I am skilled in Chain of Thought (CoT) reasoning, multilingual data annotation, and quality assurance, ensuring data accuracy and model alignment for diverse AI projects. My expertise covers the use of advanced annotation tools like Labelbox, CVAT, and Supervisely, as well as QA and bug tracking systems such as Jira and TestRail. I am fluent in English, Yoruba, and Nigerian Pidgin, which allows me to work on multilingual data projects, and I am committed to delivering high-quality, reliable training data for machine learning and AI development.
Face annotation, Object annotation
As a Senior AI Tutor & Expert Annotator at Mindrift (Toloka AI), I conducted Chain of Thought (CoT) evaluations for logical consistency and factuality in reasoning tasks. I annotated and evaluated text, image, and video data to enforce safety and alignment, and led option mapping initiatives for e-commerce taxonomy projects. I also standardized attributes and validated product variants for automated model training. • Conducted CoT evaluations for LLMs to improve reasoning accuracy. • Ensured safety and alignment by annotating multimodal data. • Led option mapping for e-commerce taxonomy structuring. • Standardized and validated product attributes to enhance model training.
During my time at Appen as a Multimedia Data Analyst, I transcribed and classified audio, video, and image content to build machine learning datasets. I ensured high-quality annotation and data integrity by adhering to 'Gold Standard' benchmarks and project requirements. My experience spanned multimodal annotation and quality assurance on large-scale client projects. • Transcribed and classified diverse media types for ML training. • Met stringent accuracy requirements for high-impact datasets. • Conducted multimodal annotation for audio, video, and images. • Maintained data integrity with consistent quality control.
At OneForma by Centific (UHRS), I worked as an AI Trainer & Search Evaluation Specialist to improve search algorithms and user relevance. I performed real-time ranking, SEO optimization, and large-scale LLM evaluation tasks across diverse contexts. My work involved query evaluation, SxS annotation, and fine-tuning ranking outputs. • Evaluated and improved search ranking algorithms through annotation. • Analyzed user queries to optimize SEO and relevancy. • Participated in high-volume LLM training pipelines. • Performed side-by-side (SxS) annotation to enhance output quality.
Bachelor of Science, Biochemistry
Expert Annotator
Multimedia Data Analyst