For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
Y
Yeabsira Zekariyas Tesfay

Yeabsira Zekariyas Tesfay

Healthcare AI Data Annotation and Evaluation

United Arab Emirates flagAddis Ababa, United Arab Emirates
IntermediateLabelboxScale AI

Key Skills

Software

LabelboxLabelbox
Scale AIScale AI

Top Subject Matter

Medical/healthcare Domain Expertise

Top Data Types

TextText

Top Task Types

No task types listed

Freelancer Overview

Healthcare AI Data Annotation and Evaluation. Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox and Scale AI. Education includes Master of Science, Yom Postgraduate College (2024) and Doctor of Medicine, Ayder College of Health Sciences Mekelle University (2018). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Intermediate

Labeling Experience

Labelbox

Healthcare AI Data Annotation and Evaluation

LabelboxText
I contributed to the evaluation and annotation of AI-generated medical responses for accuracy, safety, and logical consistency. My work included reviewing clinical information, identifying reasoning errors, and supporting dataset quality for healthcare AI systems. I utilized structured rubrics and digital annotation tools to ensure consistent, high-quality feedback for model improvement. • Evaluated AI-generated clinical outputs for factual correctness. • Designed and reviewed clinical scenarios relevant to medical model assessment. • Identified unsafe diagnostic or therapeutic recommendations within outputs. • Supported dataset development for healthcare AI training.

I contributed to the evaluation and annotation of AI-generated medical responses for accuracy, safety, and logical consistency. My work included reviewing clinical information, identifying reasoning errors, and supporting dataset quality for healthcare AI systems. I utilized structured rubrics and digital annotation tools to ensure consistent, high-quality feedback for model improvement. • Evaluated AI-generated clinical outputs for factual correctness. • Designed and reviewed clinical scenarios relevant to medical model assessment. • Identified unsafe diagnostic or therapeutic recommendations within outputs. • Supported dataset development for healthcare AI training.

2023 - Present

Education

Y

Yom Postgraduate College

Master of Science, Project Planning and Management

Master of Science
2022 - 2024
A

Ayder College of Health Sciences Mekelle University

Doctor of Medicine, Medicine

Doctor of Medicine
2011 - 2018

Work History

M

Ministry of Defense

General Practitioner

Addis Ababa
2017 - Present