Adeola Adenrele

Key Skills

Software

Labelbox

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Top Label Types

Classification

Freelancer Overview

I am a data annotation specialist with six years of experience supporting AI and machine learning projects across domains like self-driving cars, healthcare, and conversational AI. My expertise includes labeling images, videos, LiDAR, and large-scale text datasets with a strong focus on quality and accuracy. I have led QA processes, developed annotation guidelines, and collaborated with engineering teams to resolve complex data challenges, resulting in measurable improvements to model performance. Skilled in tools such as Labelbox, Scale AI, CVAT, and familiar with Python and SQL, I am committed to delivering reliable training data and fostering best practices within annotation teams. My background also includes annotating sensitive medical data for research and training others in advanced labeling techniques.

Labeling Experience

Multimodal Sentiment Analysis for E-commerce Optimization

LabelboxTextClassification

I led a high-precision data labeling initiative to train a multimodal LLM for a major retail client. The project involved categorizing 50,000+ user-generated reviews by sentiment (Positive, Negative, Neutral) and intent. I performed granular text annotation alongside image classification to ensure the model correctly identified sarcasm and context-dependent visual cues in product feedback. We maintained a 98% inter-annotator agreement (IAA) through rigorous QA loops and custom labeling ontologies.

I led a high-precision data labeling initiative to train a multimodal LLM for a major retail client. The project involved categorizing 50,000+ user-generated reviews by sentiment (Positive, Negative, Neutral) and intent. I performed granular text annotation alongside image classification to ensure the model correctly identified sarcasm and context-dependent visual cues in product feedback. We maintained a 98% inter-annotator agreement (IAA) through rigorous QA loops and custom labeling ontologies.

2025 - 2025

Education

Work History