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Bibi Fatima Naaz

Bibi Fatima Naaz

AI Data Annotation & LLM Evaluation Specialist with a UX and ML Background

INDIA flag
Jamshedpur, India
$18.00/hrEntry LevelLabel StudioOther

Key Skills

Software

Label StudioLabel Studio
Other

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
ImageImage
TextText

Top Label Types

Classification
Emotion Recognition
Text Generation
Text Summarization
Translation Localization

Freelancer Overview

I am a detail-oriented AI data annotation specialist with a UX design background that strengthens my ability to analyze text, classify content, and evaluate clarity and relevance. I have experience working with structured information, reviewing content quality, and following detailed guidelines—skills that translate directly into LLM evaluation, text labeling, prompt testing, and image categorization tasks. I bring strong English proficiency and accuracy to every project.

Entry LevelHindiUrduArabicEnglish

Labeling Experience

Text Classification & Content Quality Evaluation – UX Writing & IA Projects

OtherTextClassificationText Summarization
Across multiple UX projects (2024–2025), I performed text classification, intent labeling, and content quality evaluation for job listings, educational modules, and real estate property descriptions. Tasks included categorizing text content based on intent, tone, and relevance; evaluating clarity and correctness; rating AI-generated text; and applying guideline-based criteria to ensure consistency. I also developed taxonomies, structured datasets, and identified ambiguities—work that aligns closely with LLM evaluation and text annotation workflows.

Across multiple UX projects (2024–2025), I performed text classification, intent labeling, and content quality evaluation for job listings, educational modules, and real estate property descriptions. Tasks included categorizing text content based on intent, tone, and relevance; evaluating clarity and correctness; rating AI-generated text; and applying guideline-based criteria to ensure consistency. I also developed taxonomies, structured datasets, and identified ambiguities—work that aligns closely with LLM evaluation and text annotation workflows.

2024

Image Classification Project – Cats vs Dogs Dataset (University of London ML Coursework)

OtherImageClassificationEvaluation Rating
As part of the University of London’s ‘Machine Learning for All’ course (2023), I completed a hands-on image classification project involving dataset collection, image labeling, and model evaluation. I curated a cats-vs-dogs dataset, assigned images to classes, prepared training and prediction sets, and used the course’s ML Image Classifier tool to train and test a basic model. I evaluated predictions for accuracy, corrected mislabeled images, and ensured dataset consistency. The project received a grade of 92%, demonstrating high attention to detail and understanding of supervised learning workflows.

As part of the University of London’s ‘Machine Learning for All’ course (2023), I completed a hands-on image classification project involving dataset collection, image labeling, and model evaluation. I curated a cats-vs-dogs dataset, assigned images to classes, prepared training and prediction sets, and used the course’s ML Image Classifier tool to train and test a basic model. I evaluated predictions for accuracy, corrected mislabeled images, and ensured dataset consistency. The project received a grade of 92%, demonstrating high attention to detail and understanding of supervised learning workflows.

2023 - 2023

Education

T

Techno India University

Bachelor in Technology (Computer Science and Engineering & AI), Computer Science

Bachelor in Technology (Computer Science and Engineering & AI)
2021 - 2025

Work History

I

Innotek Solutions

UX/UI Designer Intern

Kolkata
2025 - 2025
C

Civil Guruji

UX/UI Designer Intern

Bhilai
2024 - 2025