Favour Lebonu

Key Skills

Software

Mercor

Top Subject Matter

No subject matter listed

Top Data Types

Video

Top Label Types

Entity Ner Classification

Text Generation

Freelancer Overview

I am an analytical QA contributor with hands-on experience evaluating AI-generated outputs for logical coherence, consistency, and realistic reasoning. My background in systems thinking and structured problem-solving allows me to review complex processes, identify subtle inconsistencies, and document clear, testable expectations—skills essential for high-quality data labeling and annotation work. I have independently reviewed AI and LLM outputs, assessed prompts for clarity, and applied rigorous evaluation logic to ensure data quality. Comfortable working asynchronously and navigating ambiguity, I excel in scenario validation, edge-case analysis, and structured evaluation using formats like JSON or YAML. My strong attention to detail and clear communication help me deliver reliable, feedback-driven results in remote, self-directed environments.

Labeling Experience

Entity Captioning

MercorTextEntity Ner ClassificationObject Detection

The project involves annotating and captioning images to support AI model training and improve visual recognition accuracy. My responsibilities include identifying and tagging entities such as objects, people, actions, and environments, generating clear and contextually accurate captions, and applying bounding boxes or classifications according to predefined guidelines and taxonomy standards. I ensure all annotations strictly follow project instructions, maintaining consistency, objectivity, and clarity throughout. Each submission undergoes careful self-review to verify accuracy and completeness, and any ambiguous cases are flagged rather than assumed. I adhere to established quality control processes, including audit requirements and inter-annotator consistency standards, to maintain high dataset integrity and reliable model improvement.

The project involves annotating and captioning images to support AI model training and improve visual recognition accuracy. My responsibilities include identifying and tagging entities such as objects, people, actions, and environments, generating clear and contextually accurate captions, and applying bounding boxes or classifications according to predefined guidelines and taxonomy standards. I ensure all annotations strictly follow project instructions, maintaining consistency, objectivity, and clarity throughout. Each submission undergoes careful self-review to verify accuracy and completeness, and any ambiguous cases are flagged rather than assumed. I adhere to established quality control processes, including audit requirements and inter-annotator consistency standards, to maintain high dataset integrity and reliable model improvement.

2025 - 2025

OCR Video Captioning

MercorVideoEntity Ner ClassificationText Generation

In the project, I was to write out all elements of visual text seen in short videos. Time stamp each element of visual text with starting and ending timestamps. Apply structured guidelines to ensure high-quality evaluations.

In the project, I was to write out all elements of visual text seen in short videos. Time stamp each element of visual text with starting and ending timestamps. Apply structured guidelines to ensure high-quality evaluations.

2025 - 2025

Education

Work History