Zainab A.

Key Skills

Software

Appen

Data Annotation Tech

Mercor

Top Subject Matter

Academic - Research

Healthcare - Medical Records and Patients Data

Top Data Types

Image

Text

Document

Top Task Types

Classification

Segmentation

Transcription

Freelancer Overview

I have hands-on experience managing end-to-end annotation pipelines, overseeing teams of 10+ annotators and ML engineers to deliver datasets with 98%+ accuracy. I have implemented IAA protocols that cut labeling errors by 35%, and defined ontologies and escalation processes for NLP and computer vision workflows, all using Agile/Scrum methodology backed by my Certified Scrum Master credential. What sets me apart is my ability to combine technical coordination with operational efficiency, reducing annotation pipeline costs by 25% and labor overhead by 30%. My mass communication background helps me write clear labeling guidelines and break down complex model requirements into simple annotator instructions, making me a strong fit for high-volume AI training data operations.

Labeling Experience

Medical Image Segmentation

ImagePolygon

Outlined anatomical regions in X-Ray and MRI scans using polygon tools to support diagnostic AI training for a medical technology client.

2025 - Present

Academic Project Catalog Classification

TextClassification

Reviewed and categorized student and faculty project submissions in a university library database . I organized entries by contributor's name, academic year, department and subject matter. Ensured consistent labeling conventions across records to maintain a structured, searchable catalog.

2025 - Present

Education

Work History