Adewale Adeniyi

Key Skills

Software

CVAT

Other

Top Subject Matter

Computer Vision

Computer Vision / Motion Detection

Large Language Models / Text AI

Top Data Types

Image

Video

Text

Document

Top Task Types

Bounding Box

Tracking

Polygon

Polyline

Freelancer Overview

Data Annotation Specialist (Freelance / Remote). Core strengths include CVAT and Online Annotation Platforms. Education includes Higher National Diploma, Ogun State Institute Of Technology (2022). AI-training focus includes data types such as Image, Video, and Text and labeling workflows including Bounding Box, Tracking, and Evaluation.

Labeling Experience

AI Response Evaluation Analyst

Text

As an AI Response Evaluation Analyst, I evaluated AI-generated text responses from large language models for quality, relevance, and safety. My duties included fact-checking outputs, selecting optimal responses, and providing structured feedback to improve LLM accuracy. Consistent application of project guidelines was required to ensure unbiased and reliable ratings. • Detected hallucinations, factual errors, and misleading statements in responses. • Compared and selected the most helpful and correct outputs. • Collaborated in structured dataset review processes for LLM training. • Used proprietary or online platforms for response evaluation and rating.

As an AI Response Evaluation Analyst, I evaluated AI-generated text responses from large language models for quality, relevance, and safety. My duties included fact-checking outputs, selecting optimal responses, and providing structured feedback to improve LLM accuracy. Consistent application of project guidelines was required to ensure unbiased and reliable ratings. • Detected hallucinations, factual errors, and misleading statements in responses. • Compared and selected the most helpful and correct outputs. • Collaborated in structured dataset review processes for LLM training. • Used proprietary or online platforms for response evaluation and rating.

2025 - Present

Data Annotation Specialist (Video Segmentation Project)

CVATVideoTracking

I handled video segmentation projects where I annotated and tracked moving objects across multiple video frames. Consistency and accuracy were crucial to supporting the development of motion detection models. Each video frame required careful segmentation and object tracking through annotation tools. • Maintained precise labeling over consecutive frames. • Tracked and annotated multiple object categories per project guidelines. • Improved dataset accuracy and training integrity for motion-based models. • Applied CVAT for multi-frame object tracking and segmentation.

I handled video segmentation projects where I annotated and tracked moving objects across multiple video frames. Consistency and accuracy were crucial to supporting the development of motion detection models. Each video frame required careful segmentation and object tracking through annotation tools. • Maintained precise labeling over consecutive frames. • Tracked and annotated multiple object categories per project guidelines. • Improved dataset accuracy and training integrity for motion-based models. • Applied CVAT for multi-frame object tracking and segmentation.

2025 - Present

Data Annotation Specialist (Freelance / Remote)

CVATImageBounding Box

As a freelance data annotation specialist, I was responsible for labeling image datasets using bounding boxes and polygon tools. I ensured all objects were accurately annotated in accordance with project guidelines to train computer vision models. My work involved image quality assessment, artifact detection, and metadata tagging alongside strict adherence to productivity targets. • Labeled vehicles, people, animals, and other objects in large image datasets. • Performed polygonal segmentation for precise object outlines. • Conducted dataset quality assurance and correction of inconsistencies. • Utilized CVAT for annotation tasks and quality tracking.

As a freelance data annotation specialist, I was responsible for labeling image datasets using bounding boxes and polygon tools. I ensured all objects were accurately annotated in accordance with project guidelines to train computer vision models. My work involved image quality assessment, artifact detection, and metadata tagging alongside strict adherence to productivity targets. • Labeled vehicles, people, animals, and other objects in large image datasets. • Performed polygonal segmentation for precise object outlines. • Conducted dataset quality assurance and correction of inconsistencies. • Utilized CVAT for annotation tasks and quality tracking.

2025 - Present

Education

Work History