Ayoade Osundiran

Key Skills

Software

Appen

Axiom AI

Clickworker

Toloka

Doccano

Top Subject Matter

Business, Finance

ML and NLP in Business and Finance

Customer, market research, HR and Financial data analytics

Top Data Types

Computer Code Programming

Document

Text

Top Task Types

Classification

Computer Programming Coding

Evaluation Rating

Fine Tuning

Freelancer Overview

I am a dedicated data annotation and AI services specialist with extensive experience in creating high-quality training datasets for machine learning (ML), natural language processing (NLP), computer vision (CV), and large language models (LLMs). Over the years, I have honed my expertise in data labeling techniques, quality assurance, and annotation tools to support cutting-edge AI applications. I specialize in tasks such as image and video annotation, text classification, entity recognition, sentiment analysis, and custom dataset creation tailored to specific AI model requirements. My track record includes contributing to successful AI projects by delivering accurate, consistent, and scalable training datasets for diverse industries, including healthcare, e-commerce, and applied business domain. I excel at collaborating with cross-functional teams, ensuring alignment between project objectives and data preparation workflows. Proficient in tools such as Labelbox, Prodigy, and Roboflow, combined with strong attention to detail and a commitment to data quality, I am passionate about empowering AI models to achieve optimal performance.

Labeling Experience

Named Entity Recognition (NER) for Legal Documents

DoccanoTextEntity Ner ClassificationText Summarization

Participated in annotating a corpus of 10,000 legal document entities to extract named entities such as parties involved, case numbers, dates, and jurisdiction. Tasks included labeling entities using a predefined taxonomy and summarizing case briefs for key legal precedents. Maintained consistent labeling with a 98% inter-annotator agreement. Ensured compliance with client confidentiality and data privacy protocols.

Participated in annotating a corpus of 10,000 legal document entities to extract named entities such as parties involved, case numbers, dates, and jurisdiction. Tasks included labeling entities using a predefined taxonomy and summarizing case briefs for key legal precedents. Maintained consistent labeling with a 98% inter-annotator agreement. Ensured compliance with client confidentiality and data privacy protocols.

2021 - 2022

Education

Work History