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Nwabuilo Derek

Nwabuilo Derek

AI Data Annotator & Analyst (OUTLIER AI)

Nigeria flagabuja, Nigeria
IntermediateLabelboxCVATScale AI

Key Skills

Software

LabelboxLabelbox
CVATCVAT
Scale AIScale AI
Data Annotation TechData Annotation Tech

Top Subject Matter

AI/ML Model Training Data
AI Chatbot Training
Computer Vision/Image Classification

Top Data Types

TextText
ImageImage

Top Task Types

ClassificationClassification
Bounding BoxBounding Box
Question AnsweringQuestion Answering
Text SummarizationText Summarization
Text GenerationText Generation
Object DetectionObject Detection

Freelancer Overview

AI Data Annotator & Analyst (OUTLIER AI). Core strengths include Labelbox and CVAT. Education includes Bachelor of Science, University of Nigeria (2020). AI-training focus includes data types such as Text and Image and labeling workflows including Classification and Bounding Box.

IntermediateEnglish

Labeling Experience

Labelbox

AI Data Annotator & Analyst (OUTLIER AI)

LabelboxTextClassification
As an AI Data Annotator & Analyst, I labeled and validated large volumes of text, image, and audio datasets to support machine learning model development. My work emphasized ensuring high-quality, consistent, and accurate annotations for various AI applications. I collaborated with data scientists to refine annotation guidelines and optimize model performance. • Performed semantic annotation, entity recognition, sentiment analysis, and intent classification on text data. • Executed quality assurance on labeled data and resolved annotation inconsistencies. • Utilized tools including Labelbox, CVAT, Prodigy, and Scale AI for annotation tasks. • Generated analytical reports and dashboards based on annotated data.

As an AI Data Annotator & Analyst, I labeled and validated large volumes of text, image, and audio datasets to support machine learning model development. My work emphasized ensuring high-quality, consistent, and accurate annotations for various AI applications. I collaborated with data scientists to refine annotation guidelines and optimize model performance. • Performed semantic annotation, entity recognition, sentiment analysis, and intent classification on text data. • Executed quality assurance on labeled data and resolved annotation inconsistencies. • Utilized tools including Labelbox, CVAT, Prodigy, and Scale AI for annotation tasks. • Generated analytical reports and dashboards based on annotated data.

2022 - Present
CVAT

Image Classification Model Support Project

CVATImageBounding Box
I labeled image data by drawing bounding boxes around objects for model training and evaluation. The task supported computer vision initiatives, aiding in object detection and classification models. It required adherence to precise guideline standards for bounding box creation and verification. • Utilized CVAT for creating and reviewing bounding boxes. • Assisted in AI model training and evaluation for image classification goals. • Corrected annotation errors through meticulous quality reviews. • Delivered consistently labeled images improving model reliability.

I labeled image data by drawing bounding boxes around objects for model training and evaluation. The task supported computer vision initiatives, aiding in object detection and classification models. It required adherence to precise guideline standards for bounding box creation and verification. • Utilized CVAT for creating and reviewing bounding boxes. • Assisted in AI model training and evaluation for image classification goals. • Corrected annotation errors through meticulous quality reviews. • Delivered consistently labeled images improving model reliability.

2023 - 2023
Labelbox

AI Chatbot Training Dataset Project

LabelboxTextClassification
I annotated conversational text datasets specifically for chatbot AI training. My tasks included performing intent classification and sentiment tagging to enhance chatbot response accuracy. This role contributed directly to improving natural language processing models for AI chatbots. • Created labeled datasets for conversational AI systems. • Focused on extracting intent and sentiment from user dialogues. • Supported the fine-tuning of AI chatbot response mechanisms. • Ensured labeling consistency and data integrity throughout the annotation process.

I annotated conversational text datasets specifically for chatbot AI training. My tasks included performing intent classification and sentiment tagging to enhance chatbot response accuracy. This role contributed directly to improving natural language processing models for AI chatbots. • Created labeled datasets for conversational AI systems. • Focused on extracting intent and sentiment from user dialogues. • Supported the fine-tuning of AI chatbot response mechanisms. • Ensured labeling consistency and data integrity throughout the annotation process.

2023 - 2023

Education

U

University of Nigeria

Bachelor of Science, Data Science

Bachelor of Science
2020

Work History

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Nwabuilo D. hasn’t added any Work History to their OpenTrain profile yet.