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Ahmed Elafify

AI Data Annotator / AI Trainer (Remote)

United Kingdom flagLiverpool, United Kingdom
$50.00/hrExpertOtherAppenData Annotation Tech

Key Skills

Software

Other
AppenAppen
Data Annotation TechData Annotation Tech

Top Subject Matter

Natural Language Processing (NLP)
Multilingual AI
Content Moderation

Top Data Types

TextText
VideoVideo
DocumentDocument

Top Task Types

RLHFRLHF
Evaluation/RatingEvaluation/Rating

Freelancer Overview

AI Data Annotator / AI Trainer (Remote). Brings 12+ years of professional experience across complex professional workflows, research, and quality-focused execution. Education includes Bachelor of Medicine, Bachelor of Surgery (2014). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

ExpertEnglishArabic

Labeling Experience

AI Data Annotator / AI Trainer (Remote)

OtherText
As an AI Data Annotator and AI Trainer, I annotated and evaluated large text datasets to enhance AI model performance in Arabic and English. My work involved prompt evaluation, response ranking, and ensuring data quality for multilingual natural language processing tasks. By following strict guidelines, I maintained high annotation standards and consistency throughout my projects. • Labeled data involved text classification, sentiment analysis, and named entity recognition (NER). • Performed quality assurance on model outputs for fluency and cultural relevance. • Used annotation platforms such as Appen, Outlier, and RWS. • Supported AI training by evaluating and refining textual datasets.

As an AI Data Annotator and AI Trainer, I annotated and evaluated large text datasets to enhance AI model performance in Arabic and English. My work involved prompt evaluation, response ranking, and ensuring data quality for multilingual natural language processing tasks. By following strict guidelines, I maintained high annotation standards and consistency throughout my projects. • Labeled data involved text classification, sentiment analysis, and named entity recognition (NER). • Performed quality assurance on model outputs for fluency and cultural relevance. • Used annotation platforms such as Appen, Outlier, and RWS. • Supported AI training by evaluating and refining textual datasets.

2022 - Present
Appen

Content Reviewer (Remote)

AppenText
As a Content Reviewer for Appen, I evaluated multilingual textual content to ensure quality and compliance with guidelines. My responsibilities included identifying errors and inconsistencies within Arabic and English datasets. I also contributed to AI training pipelines by validating and refining language data. • Reviewed content for quality, tone, and guideline alignment. • Focused on error detection in large language datasets. • Validated corrections to improve AI model quality. • Ideal for supporting ongoing LLM and NLP improvement.

As a Content Reviewer for Appen, I evaluated multilingual textual content to ensure quality and compliance with guidelines. My responsibilities included identifying errors and inconsistencies within Arabic and English datasets. I also contributed to AI training pipelines by validating and refining language data. • Reviewed content for quality, tone, and guideline alignment. • Focused on error detection in large language datasets. • Validated corrections to improve AI model quality. • Ideal for supporting ongoing LLM and NLP improvement.

2019 - 2022

Education

N

N/A

Bachelor of Medicine, Bachelor of Surgery, Medicine and Surgery

Bachelor of Medicine, Bachelor of Surgery
2007 - 2014

Work History

D

dataannotation, Outlier

Data annotator

liverpool
2023 - Present
N

N/A

Medical Doctor, Histopathology

Liverpool
2022 - Present