Seun Ifekoya

Key Skills

Software

Roboflow

Label Studio

CVAT

Other

Top Subject Matter

Computer Vision

Natural Language Processing

Mathematics Education AI

Top Data Types

Image

Video

Text

Top Task Types

Data Collection

Transcription

Bounding Box

Polygon

Segmentation

Classification

Object Detection

RLHF

Prompt Response Writing SFT

Freelancer Overview

AI Data Annotation Specialist (Image & Video Annotation Practice). Brings 19+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT and Other. Education includes Bachelor of Engineering, Covenant University (2008). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box, RLHF, and Prompt + Response Writing (SFT).

Labeling Experience

AI Math Dataset Creator (Mathematics AI Training Dataset)

OtherTextPrompt Response Writing SFT

I am developing a high school mathematics AI training dataset by authoring structured math problems and detailed solutions. The work targets critical skills in algebra, geometry, probability, and statistics, formatted for model consumption at WAEC/SAT difficulty. Each data point is created to train and fine-tune mathematics-focused AI models for step-by-step logical reasoning. • Authored questions and answers suitable for model training. • Ensured content completeness and logical problem breakdown. • Covered a broad mathematics syllabus for high school level. • Focused on clear and pedagogically sound solution steps.

I am developing a high school mathematics AI training dataset by authoring structured math problems and detailed solutions. The work targets critical skills in algebra, geometry, probability, and statistics, formatted for model consumption at WAEC/SAT difficulty. Each data point is created to train and fine-tune mathematics-focused AI models for step-by-step logical reasoning. • Authored questions and answers suitable for model training. • Ensured content completeness and logical problem breakdown. • Covered a broad mathematics syllabus for high school level. • Focused on clear and pedagogically sound solution steps.

2023 - Present

AI Prompt Evaluator & RLHF Rater (Prompt Engineering & Evaluation)

OtherTextRLHF

I conducted structured review and comparative evaluation of AI-generated responses for prompt engineering tasks. My work involved pairwise ranking of AI outputs on factual accuracy, coherence, helpfulness, and safety following RLHF principles. Each evaluation contributed to model improvement and informed guided prompt optimization for language models. • Performed rigorous pairwise preference ranking for answer evaluation. • Documented detailed reasoning for every comparative decision. • Focused on guiding model alignment with human preferences. • Supported prompt engineering via LearnPrompting.org and DataLens Africa.

I conducted structured review and comparative evaluation of AI-generated responses for prompt engineering tasks. My work involved pairwise ranking of AI outputs on factual accuracy, coherence, helpfulness, and safety following RLHF principles. Each evaluation contributed to model improvement and informed guided prompt optimization for language models. • Performed rigorous pairwise preference ranking for answer evaluation. • Documented detailed reasoning for every comparative decision. • Focused on guiding model alignment with human preferences. • Supported prompt engineering via LearnPrompting.org and DataLens Africa.

2023 - Present

AI Data Annotation Specialist (Image & Video Annotation Practice)

CVATImageBounding Box

I performed image and video annotation using CVAT, focusing on object detection and segmentation tasks. My work included drawing bounding boxes, polygons, and keypoints for various image datasets to support machine learning applications. The annotations were carried out as training exercises to improve accuracy and consistency for computer vision models. • Executed hands-on labeling projects with CVAT. • Applied bounding box, polygon, and keypoint techniques for comprehensive annotation. • Worked with multiple image categories to enhance dataset diversity. • Prioritized data quality and adherence to annotation guidelines.

I performed image and video annotation using CVAT, focusing on object detection and segmentation tasks. My work included drawing bounding boxes, polygons, and keypoints for various image datasets to support machine learning applications. The annotations were carried out as training exercises to improve accuracy and consistency for computer vision models. • Executed hands-on labeling projects with CVAT. • Applied bounding box, polygon, and keypoint techniques for comprehensive annotation. • Worked with multiple image categories to enhance dataset diversity. • Prioritized data quality and adherence to annotation guidelines.

2023 - Present

Education

Work History