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D
Divin Jay

Divin Jay

AI/Data Annotation (Self-Directed / Practice Projects)

Nigeria flagAbuja, Nigeria
$10.00/hrIntermediateOtherAppen

Key Skills

Software

Other
AppenAppen

Top Subject Matter

Natural Language Processing (NLP)
Content Moderation
NLP Model Training

Top Data Types

TextText
ImageImage
VideoVideo

Top Task Types

ClassificationClassification
Entity (NER) ClassificationEntity (NER) Classification
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

AI/Data Annotation (Self-Directed / Practice Projects). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Diploma, Self-Taught (2023). AI-training focus includes data types such as Text and labeling workflows including Classification, Entity (NER) Classification, and Prompt + Response Writing (SFT).

IntermediateEnglish

Labeling Experience

AI Prompt Optimization Project

OtherTextPrompt Response Writing SFT
During the AI Prompt Optimization Project, I developed and tested advanced prompts aimed at improving the accuracy of chatbot responses. I focused on reducing irrelevant outputs through refined instructions and targeted context framing. My work was essential for creating an effective prompt set for supervised AI fine-tuning. • Designed structured prompts for chatbot testing • Assessed and improved response quality metrics • Implemented context-focused instructions • Iteratively optimized prompt wording and structure

During the AI Prompt Optimization Project, I developed and tested advanced prompts aimed at improving the accuracy of chatbot responses. I focused on reducing irrelevant outputs through refined instructions and targeted context framing. My work was essential for creating an effective prompt set for supervised AI fine-tuning. • Designed structured prompts for chatbot testing • Assessed and improved response quality metrics • Implemented context-focused instructions • Iteratively optimized prompt wording and structure

2023 - Present

Data Labeling Simulation Project

OtherTextEntity Ner Classification
In my Data Labeling Simulation Project, I created and labeled datasets specifically for training NLP models. I utilized entity tagging, sentiment annotation, and intent classification techniques to prepare high-quality datasets for machine learning. My efforts focused on applying precise labeling strategies to support robust AI development. • Applied NER, sentiment, and intent labels to text data • Simulated real-world annotation workflows • Documented detailed procedures for reproducibility • Ensured consistency across all labeling tasks

In my Data Labeling Simulation Project, I created and labeled datasets specifically for training NLP models. I utilized entity tagging, sentiment annotation, and intent classification techniques to prepare high-quality datasets for machine learning. My efforts focused on applying precise labeling strategies to support robust AI development. • Applied NER, sentiment, and intent labels to text data • Simulated real-world annotation workflows • Documented detailed procedures for reproducibility • Ensured consistency across all labeling tasks

2023 - Present

AI/Data Annotation (Self-Directed / Practice Projects)

OtherTextClassification
I independently annotated datasets for text classification, sentiment analysis, and content moderation tasks. My work involved evaluating AI-generated outputs for accuracy and conducting quality checks to ensure consistency and reduce bias. I also created structured prompts to optimize the quality of AI responses. • Annotated and labeled datasets for various NLP applications • Evaluated and rated AI outputs for safety and relevance • Developed and documented clear annotation guidelines • Performed quality assurance to maintain dataset integrity

I independently annotated datasets for text classification, sentiment analysis, and content moderation tasks. My work involved evaluating AI-generated outputs for accuracy and conducting quality checks to ensure consistency and reduce bias. I also created structured prompts to optimize the quality of AI responses. • Annotated and labeled datasets for various NLP applications • Evaluated and rated AI outputs for safety and relevance • Developed and documented clear annotation guidelines • Performed quality assurance to maintain dataset integrity

2023 - Present

Education

S

Self-Taught

Diploma, Computer Science

Diploma
2023

Work History

F

Freelance

Frontend Developer

Abuja
2022 - Present