Julekha Khatoon

Key Skills

Software

Clickworker

Data Annotation Tech

Humanatic

Labelbox

Mercor

Mindrift

Remotasks

Scale AI

Prodigy

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Video

Top Task Types

Audio Recording

Emotion Recognition

Evaluation Rating

Prompt Response Writing SFT

Text Generation

Freelancer Overview

I’ve worked on a variety of data labeling and AI training projects, helping build the kind of clean, reliable datasets that power smarter machine learning models. From tagging text and images to structuring conversational data, I’ve learned how much accuracy and consistency matter when it comes to teaching AI to “understand” the world. What I enjoy most is the mix of detail and big-picture thinking—making sure every label is correct while also knowing that my work plays a direct role in how well an AI system performs. I’m quick to adapt to new tools and guidelines, and I take pride in delivering data that’s not just complete, but genuinely useful for training.

Labeling Experience

Chatbot Intent & Entity Annotation

ProdigyTextEntity Ner ClassificationText Generation

Annotated and structured conversational data for chatbot training in a healthcare setting. Tagged user intents, extracted medical-related entities, and categorized conversations to improve natural language understanding. Collaborated with QA teams to refine annotation rules and maintain dataset consistency, achieving a high level of precision critical for sensitive use cases.

Annotated and structured conversational data for chatbot training in a healthcare setting. Tagged user intents, extracted medical-related entities, and categorized conversations to improve natural language understanding. Collaborated with QA teams to refine annotation rules and maintain dataset consistency, achieving a high level of precision critical for sensitive use cases.

2025

Sentiment Analysis & Text Classification Project

LabelboxTextSegmentationClassification

Labeled and classified large volumes of customer support transcripts to identify intent, sentiment (positive, neutral, negative), and key named entities. Followed detailed project guidelines to ensure consistent labeling across ambiguous cases. Conducted quality reviews, corrected inconsistencies, and maintained accuracy levels above 95%. Collaborated with project managers to refine labeling instructions for better clarity.

Labeled and classified large volumes of customer support transcripts to identify intent, sentiment (positive, neutral, negative), and key named entities. Followed detailed project guidelines to ensure consistent labeling across ambiguous cases. Conducted quality reviews, corrected inconsistencies, and maintained accuracy levels above 95%. Collaborated with project managers to refine labeling instructions for better clarity.

2025 - 2025

Retail Product Image Annotation

Scale AIImageBounding BoxPolygon

Annotated thousands of product images for object detection and classification tasks. Drew bounding boxes and polygons to precisely capture items in varying lighting, angles, and backgrounds. Labeled product categories and attributes to support computer vision models for e-commerce search and recommendation engines. Ensured quality standards with regular cross-checks and accuracy validations.

Annotated thousands of product images for object detection and classification tasks. Drew bounding boxes and polygons to precisely capture items in varying lighting, angles, and backgrounds. Labeled product categories and attributes to support computer vision models for e-commerce search and recommendation engines. Ensured quality standards with regular cross-checks and accuracy validations.

2024 - 2024

Education

Work History