Kester Igboeli

Key Skills

Software

Appen

Clickworker

CVAT

Data Annotation Tech

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Image

Text

Video

Top Label Types

Bounding Box

Computer Programming Coding

Object Detection

Polygon

Question Answering

Text Summarization

Transcription

Freelancer Overview

I am an AI Search and Content Evaluator with hands-on experience in model improvement projects. I specialize in Image Classification, high-precision bonding box annotation, and object detection for computer vision. My work includes search relevance evaluation, code review, and text summarization across large-scale datasets. I consistently follow complex annotation guidelines, ensure high inter-rater reliability, and maintain strong accuracy and productivity metrics across large-scale datasets. With a professional background in Quality Assurance Engineering, I bring strong analytical thinking, attention to detail, and a deep understanding of quality control processes. I am experienced in identifying edge cases, evaluating AI generated outputs objectively, and providing clear, structured feedback to improve model performance. I work well independently in remote environments and consistently deliver reliable, high quality contributions to AI training and data annotation projects.

Labeling Experience

AI Search & Content Evaluation Specialist

AppenTextBounding BoxQuestion Answering

Worked on AI training and evaluation projects through RWS involving multiple data annotation and review tasks. Responsibilities included drawing bounding boxes for object detection tasks, reviewing and validating code outputs for accuracy and logic, evaluating and answering domain-specific questions, and assessing or generating high-quality text summarizations. Followed detailed annotation and evaluation guidelines to ensure consistency, accuracy, and high inter-rater agreement. Performed quality checks, identified edge cases, and provided structured feedback to improve model performance. Maintained productivity targets while delivering precise and unbiased annotations in a remote work environment.

Worked on AI training and evaluation projects through RWS involving multiple data annotation and review tasks. Responsibilities included drawing bounding boxes for object detection tasks, reviewing and validating code outputs for accuracy and logic, evaluating and answering domain-specific questions, and assessing or generating high-quality text summarizations. Followed detailed annotation and evaluation guidelines to ensure consistency, accuracy, and high inter-rater agreement. Performed quality checks, identified edge cases, and provided structured feedback to improve model performance. Maintained productivity targets while delivering precise and unbiased annotations in a remote work environment.

2024 - 2025

Education

Work History