Lukmon Olanipekun

Key Skills

Software

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Bounding Box

Point Key Point

Polyline

Entity Ner Classification

Segmentation

Freelancer Overview

I have hands-on experience in data labeling and AI training data projects, supporting the development and evaluation of machine learning models across text and image domains. My work has included annotating large-scale datasets for natural language processing (NLP) tasks such as sentiment analysis, intent classification, entity recognition, and content moderation, as well as image and video labeling for object detection and classification models. I am highly proficient with annotation tools and follow detailed labeling guidelines to ensure accuracy, consistency, and high inter-annotator agreement. I also perform quality assurance (QA), error analysis, and feedback calibration to continuously improve dataset reliability. What sets me apart is my strong attention to detail, ability to quickly understand complex taxonomy systems, and commitment to data integrity. I am comfortable working with ambiguous cases, refining edge-case definitions, and collaborating with cross-functional teams including data scientists and project managers. Additionally, I bring strong analytical thinking, confidentiality awareness, and the ability to meet tight deadlines without compromising quality ensuring that training data is both scalable and model-ready.

Labeling Experience

AI Training Data Annotator

AppenImageBounding BoxPoint Key Point

Labeled and categorized image datasets for computer vision models, including image classification and object detection using bounding boxes. Ensured precise annotations and performed quality checks to maintain dataset integrity. Collaborated with team members to meet accuracy and productivity targets.

Labeled and categorized image datasets for computer vision models, including image classification and object detection using bounding boxes. Ensured precise annotations and performed quality checks to maintain dataset integrity. Collaborated with team members to meet accuracy and productivity targets.

2023 - 2025

Education

Work History