Raphael Osuchukwu

Key Skills

Software

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Bounding Box

Freelancer Overview

I am a dedicated Data Annotation Specialist and Data Analyst with hands-on experience in AI training data, quality assurance, and product categorization for e-commerce platforms. My work has involved reviewing and labeling data, evaluating AI-generated responses for factual accuracy, and providing constructive feedback to improve algorithm performance. I am adept at using Microsoft Office Suite and have a strong background in research, transcription, and academic writing. My experience spans freelancing on platforms like Upwork, where I maintain a 5-star rating and a 95% job success score, as well as research assistance in academic settings. I am passionate about leveraging technology to drive better outcomes and am committed to delivering high-quality, timely results in every project I undertake.

Labeling Experience

Data Labeling Specialist at The Elite job

LabelboxImageBounding Box

I annotated and labeled large datasets including images, text, audio, and video to support machine learning model development. I applied bounding boxes, segmentation masks, and classification tags to improve computer vision model accuracy. I conducted sentiment analysis and entity tagging for NLP training datasets. • Used Labelbox, CVAT, and Prodigy for structured data annotation. • Improved the quality of AI training datasets for diverse machine learning applications. • Ensured high accuracy and quality control in the annotation processes. • Collaborated remotely as part of a global data labeling team.

I annotated and labeled large datasets including images, text, audio, and video to support machine learning model development. I applied bounding boxes, segmentation masks, and classification tags to improve computer vision model accuracy. I conducted sentiment analysis and entity tagging for NLP training datasets. • Used Labelbox, CVAT, and Prodigy for structured data annotation. • Improved the quality of AI training datasets for diverse machine learning applications. • Ensured high accuracy and quality control in the annotation processes. • Collaborated remotely as part of a global data labeling team.

2023

Education

Work History