Toheeb J.

Key Skills

Software

CVAT

Appen

Label Studio

OneForma

Top Subject Matter

AI Training Data

Image Object Detection

AI Data Annotation

Top Data Types

Image

Text

Audio

Top Task Types

Bounding Box

Transcription

Object Detection

Data Collection

Segmentation

Freelancer Overview

Data Specialist & Freelancer. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT and Appen. Education includes Secondary School Leaving Certificate, Royal Ambassadors International College (2023). AI-training focus includes data types such as Image and labeling workflows including Bounding Box.

Labeling Experience

Independent Contractor | Appen

AppenImageBounding Box

Selected as an independent contractor for Project Whatcom at Appen, focusing on data annotation, quality evaluation, and task management. Developed expertise in adhering to annotation guidelines and quality control for large-scale AI projects involving image labeling. Worked extensively with Label Studio and CVAT to deliver accurate bounding box annotations for client datasets. • Participated in platform-specific evaluations to ensure data consistency. • Enhanced quality control processes for AI training datasets. • Coordinated digital workflows using Appen and Datalens systems. • Supported large-scale dataset preparation for advanced computer vision models.

2024 - Present

Data Specialist & Freelancer

CVATImageBounding Box

Actively engaged in data annotation projects specializing in precise image classification and object detection for AI model training. Successfully executed labeling tasks using CVAT and Label Studio platforms, adhering to strict annotation guidelines. Earned a professional certification in Datalens for maintaining consistent task accuracy and high-quality data outputs. • Specialized in bounding box and semantic segmentation techniques for large-scale datasets. • Regularly evaluated and improved upon annotation quality standards based on client feedback. • Applied selective editing skills through Snapseed to support dataset quality. • Contributed to the preparation of comprehensive, high-precision datasets for computer vision applications.

2024 - Present

Education

Work History