Barth Sufficient Chisom

Key Skills

Software

Other

Labelbox

Top Subject Matter

General AI/Chatbot Applications

General Digital Content/AI Training

Conversational AI/Chatbots

Top Data Types

Text

Image

Top Task Types

Data Collection

Classification

Freelancer Overview

AI Data Annotator (Freelance – Remote). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and Labelbox. Education includes Bachelor of Science, University of Nigeria (2022) and Certificate, TechCrush Bootcamp (2026). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

AI Data Annotator (Freelance – Remote)

OtherText

As an AI Data Annotator, I evaluated AI-generated responses for quality, accuracy, and human alignment. I performed ranking, classification, rewriting, and detailed feedback tasks to improve model outputs. My work contributed to AI training through consistent annotation and evaluation in large datasets. • Performed response evaluation, ranking, and content rewriting • Completed audio transcription and image evaluation on AI training platforms (e.g., Anutacon) • Ensured high accuracy and adherence to project guidelines • Engaged in comparison and categorization workflows for AI model improvement

As an AI Data Annotator, I evaluated AI-generated responses for quality, accuracy, and human alignment. I performed ranking, classification, rewriting, and detailed feedback tasks to improve model outputs. My work contributed to AI training through consistent annotation and evaluation in large datasets. • Performed response evaluation, ranking, and content rewriting • Completed audio transcription and image evaluation on AI training platforms (e.g., Anutacon) • Ensured high accuracy and adherence to project guidelines • Engaged in comparison and categorization workflows for AI model improvement

2024 - Present

Text Annotation & Classification Project

LabelboxTextClassification

I contributed to a Text Annotation & Classification Project focused on preparing datasets for natural language processing applications. This involved labeling and categorizing text data while ensuring consistency with annotation guidelines. My work played a key role in the accuracy and utility of datasets for AI training workflows. • Labeled and annotated large-scale text datasets • Ensured strict adherence to guidance and standards • Assisted in preparing datasets for NLP model training • Maintained consistency and data integrity throughout the project

I contributed to a Text Annotation & Classification Project focused on preparing datasets for natural language processing applications. This involved labeling and categorizing text data while ensuring consistency with annotation guidelines. My work played a key role in the accuracy and utility of datasets for AI training workflows. • Labeled and annotated large-scale text datasets • Ensured strict adherence to guidance and standards • Assisted in preparing datasets for NLP model training • Maintained consistency and data integrity throughout the project

Not specified

AI Response Evaluation Project

OtherTextClassification

I participated in an AI Response Evaluation Project to assess chatbot outputs for tone, helpfulness, and factual correctness. My responsibilities included ranking multiple responses against quality metrics and contributing to AI system alignment. The role focused on improving conversational AI systems' understanding and output quality. • Evaluated chatbot responses for various qualitative measures • Ranked and categorized outputs using established criteria • Enhanced AI models' user alignment through continuous feedback • Documented findings to aid model refinement

I participated in an AI Response Evaluation Project to assess chatbot outputs for tone, helpfulness, and factual correctness. My responsibilities included ranking multiple responses against quality metrics and contributing to AI system alignment. The role focused on improving conversational AI systems' understanding and output quality. • Evaluated chatbot responses for various qualitative measures • Ranked and categorized outputs using established criteria • Enhanced AI models' user alignment through continuous feedback • Documented findings to aid model refinement

Not specified

Education

Work History