Jamilah A.

Key Skills

Software

Other

Top Subject Matter

Computer Vision (Arabic/English bilingual annotator)

Natural Language Processing (Arabic/English)

Legal Services & Contract Review

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Entity (NER) Classification

Freelancer Overview

Freelance Data Annotator & Content Reviewer (Remote / Self-Employed) — Image annotation. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, Taibah University (2027). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box and Entity (NER) Classification.

Labeling Experience

Freelance Data Annotator & Content Reviewer (Remote / Self-Employed) — Text & NER labeling and moderation

OtherTextEntity (NER) Classification

Labeled text data for multiple NLP tasks including sentiment analysis, intent classification, and named entity recognition (NER). Work included reviewing and verifying annotations against labeling guidelines to support AI/ML training dataset quality. The annotator also performed Arabic and English content review and moderation to ensure compliance with project rules. • Sentiment labeling and intent classification for NLP datasets • Named entity recognition (NER) annotation and verification • Arabic and English AI content moderation/review • Ensured guideline adherence and high annotation accuracy

2023 - Present

Freelance Data Annotator & Content Reviewer (Remote / Self-Employed) — Image annotation

OtherImageBounding Box

Freelance labeling focused on computer vision annotations using bounding boxes, polygon segmentation, and object classification for large-scale datasets. Responsibilities included applying project-specific guidelines, ensuring each labeled instance was accurate and consistently formatted, and maintaining high quality across micro-task workflows. Quality was tracked with accuracy targets above 95% across platforms. • Labeled objects with bounding boxes for computer vision training • Performed polygon segmentation and object classification • Followed detailed annotation guidelines and adapted to changes • Maintained >95% accuracy on micro-task platforms

2023 - Present

Education

Work History