Oluwamuyiwa Olowoleni

Key Skills

Software

Appen

Data Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

Text

Image

Top Label Types

Entity Ner Classification

Bounding Box

Freelancer Overview

I am an experienced AI content specialist with a strong background in data labeling, annotation, and training data evaluation for generative AI systems. My expertise spans both visual and text-based content, where I excel at providing clear, context-rich descriptions and identifying subtle cues, tone, and cultural references. I have hands-on experience using structured rubrics to evaluate AI outputs, ensuring accuracy and consistency across diverse content types, including complex image scenarios and nuanced textual data. I am skilled with tools such as ChatGPT and other LLM platforms, Microsoft Excel for data review and reporting, and foundational web technologies. My analytical mindset, attention to detail, and commitment to guideline adherence allow me to deliver high-quality training data that improves AI understanding of real-world context and nuance. I thrive in remote, high-volume environments, consistently producing structured, actionable feedback to support AI model development and quality assurance.

Labeling Experience

LLM Response Evaluation & RLHF Annotation Project

AppenTextEntity Ner Classification

Worked on large-scale AI training and evaluation projects focused on improving Large Language Model (LLM) performance. The project involved reviewing and rating AI-generated responses using structured evaluation rubrics.

Worked on large-scale AI training and evaluation projects focused on improving Large Language Model (LLM) performance. The project involved reviewing and rating AI-generated responses using structured evaluation rubrics.

2024 - 2025

Computer Vision Object Detection & Bounding Box Annotation

Data Annotation TechImageBounding Box

Contributed to a computer vision training project focused on object detection and scene understanding. The dataset consisted of thousands of real-world street and surveillance images.

Contributed to a computer vision training project focused on object detection and scene understanding. The dataset consisted of thousands of real-world street and surveillance images.

2023 - 2024

Education

Work History