David Kayode

Key Skills

Software

Labelbox

Top Subject Matter

Computer Vision

Natural Language Processing

Customer support

Top Data Types

Image

Top Task Types

Bounding Box

Freelancer Overview

AI Annotator, Freelance. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox. Education includes Bachelor of Science, University College London (2021). AI-training focus includes data types such as Image and labeling workflows including Bounding Box.

Labeling Experience

Data Labeling

ImageObject Detection

it a AI Annotating Job

it a AI Annotating Job

2017 - Present

AI Annotator, Freelance

LabelboxImageBounding Box

As an AI Annotator, I labeled and reviewed image and text datasets for computer vision and NLP projects. My primary focus was ensuring data accuracy and adhering to stringent standards for high-quality model training. I collaborated with machine learning teams using tools such as Labelbox, CVAT, and Roboflow to efficiently complete demanding annotation tasks. • Provided detailed bounding box and classification annotations on large-scale image data. • Reviewed and validated text annotations for natural language applications. • Optimized annotation workflows for greater consistency and throughput. • Maintained a strong commitment to confidentiality and data integrity throughout the project.

As an AI Annotator, I labeled and reviewed image and text datasets for computer vision and NLP projects. My primary focus was ensuring data accuracy and adhering to stringent standards for high-quality model training. I collaborated with machine learning teams using tools such as Labelbox, CVAT, and Roboflow to efficiently complete demanding annotation tasks. • Provided detailed bounding box and classification annotations on large-scale image data. • Reviewed and validated text annotations for natural language applications. • Optimized annotation workflows for greater consistency and throughput. • Maintained a strong commitment to confidentiality and data integrity throughout the project.

2014 - 2024

Education

Work History