Odushile O.

Key Skills

Software

CVAT

Other

Top Subject Matter

NLP training data for AI models (African languages)

Generative AI development (LLM integration, RAG/agentic RAG)

AI Developer

Top Data Types

Text

Audio

Image

Top Task Types

Data Collection

Fine-tuning

Polygon

Transcription

Object Detection

Text Summarization

Freelancer Overview

I am an AI Developer with hands-on experience in data annotation, AI training data workflows, and building production-grade AI systems. I have professional experience as a Data Annotator at Awarri, where I labelled and reviewed AI training datasets for NLP and machine learning models including African language datasets, ensuring quality, consistency, and alignment with annotation guidelines. My AI training data experience spans text classification, semantic labelling, dataset quality review, and fine-tuning support. I have also built AI systems that consume and depend on high-quality training data, including a RAG pipeline grounded in embedded textbook content (MathGenius) and a signal extraction engine using a fine-tuned HuggingFace model (ForexGPT) giving me a deep understanding of how data quality directly impacts model performance. I hold a Generative AI Fellowship Certificate (2026) and a B.Sc. in Mathematics Education from the University of Ilorin (2023).

Labeling Experience

Generative AI Fellowship - AI Developer Track, AI Fellowship Programme

Computer Code ProgrammingFine-tuning

Completed a 7-month Generative AI Fellowship focusing on building and integrating LLM applications and AI features. Developed projects involving RAG and agentic RAG systems that required preparing and working with AI model-ready inputs and pipelines. Built end-to-end full stack AI solutions under agile, remote-first collaboration and hackathon conditions. • Built RAG and agentic RAG components for LLM integration • Delivered production-grade AI projects during the fellowship • Collaborated in agile remote-first team workflows • Participated in a competitive hackathon submission

2025 - 2026

Data Annotator, Awarri (Data Annotation / AI training datasets)

Medical DicomObject Detection

Annotated and labeled AI training datasets to support NLP and machine learning model development. Followed annotation guidelines to ensure data quality and consistency. Participated in review cycles to validate labeled outputs for downstream AI use. • Labeled dataset records for NLP/ML training • Performed guideline-based quality checks • Reviewed and refined annotations during feedback cycles • Contributed to African language dataset quality

2025 - 2026

Education

Work History