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Amer Alshdaifat

Amer Alshdaifat

AI Annotator and Trainer

Jordan flagToronto, Jordan
$35.00/hrIntermediateMicro1Scale AI

Key Skills

Software

Micro1
Scale AIScale AI

Top Subject Matter

Pharmaceutical
Health Care
Calibration and Validation

Top Data Types

TextText
DocumentDocument
ImageImage

Top Task Types

Bounding BoxBounding Box
ClassificationClassification
Object DetectionObject Detection
Text GenerationText Generation
Question AnsweringQuestion Answering
Text SummarizationText Summarization

Freelancer Overview

With over 13 years of experience in highly regulated laboratory environments, I have developed a strong foundation in data accuracy, quality assurance, and compliance—skills that are crucial for data labeling and AI training data roles. My background in biomedical engineering and metrology has equipped me with expertise in preparing and executing detailed protocols, managing large volumes of technical data, and ensuring strict adherence to standards such as GMP, GLP, and ISO 17025. I am adept at training teams on precise data handling, troubleshooting complex instrumentation, and maintaining meticulous records, all of which support the creation of reliable and high-quality datasets for AI applications, particularly in medical, pharmaceutical, and analytical domains. My hands-on experience with analytical instruments and software configuration also enables me to understand and annotate complex technical data with accuracy and consistency.

IntermediateEnglishArabic

Labeling Experience

Data Labeling Specialist

TextClassification
At Outlier AI, I worked as a Data Labeling Specialist where I labeled and reviewed large datasets. My role involved identifying and properly categorizing outliers and edge cases. I consistently followed detailed annotation guidelines, ensuring high consistency and quality standards. Performing quality assurance checks was integral to my task, significantly reducing labeling errors and enhancing dataset reliability. • Identified and analyzed outliers. • Conducted quality assurance to improve reliability. • Provided feedback on ambiguous cases. • Managed tasks efficiently, meeting strict deadlines.

At Outlier AI, I worked as a Data Labeling Specialist where I labeled and reviewed large datasets. My role involved identifying and properly categorizing outliers and edge cases. I consistently followed detailed annotation guidelines, ensuring high consistency and quality standards. Performing quality assurance checks was integral to my task, significantly reducing labeling errors and enhancing dataset reliability. • Identified and analyzed outliers. • Conducted quality assurance to improve reliability. • Provided feedback on ambiguous cases. • Managed tasks efficiently, meeting strict deadlines.

2025 - 2025

Education

J

Jordan University of Science and Technology

Bachelor of Science, Biomedical Engineering

Bachelor of Science
2008 - 2012

Work History

E

Eurofins Cosmetics

Calibration Specialist

North York
2025 - Present
M

Micro1

Calibration Technologist

California
2026 - Present