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Mahmoud Sayed

Medical and General Translation Data Annotator & Reviewer

Egypt flagEl Arish, Egypt
$7.00/hrEntry LevelMercor

Key Skills

Software

MercorMercor

Top Subject Matter

Medical Domain Expertise
General Domain Expertise
Multilingual NLP

Top Data Types

TextText
DocumentDocument

Top Task Types

RLHF

Freelancer Overview

Medical and General Translation Data Annotator & Reviewer. Brings 8+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Mercor and Outlier. Education includes Bachelor of Dental Surgery, Sinai University (2020). AI-training focus includes data types such as Text and labeling workflows including Translation, Localization, and RLHF.

Entry LevelEnglishArabic

Labeling Experience

AI Model Evaluator & RLHF Annotator

TextRLHF
Performed human feedback evaluation of AI-generated outputs for healthcare and general domains as part of reinforcement learning from human feedback (RLHF) tasks. Ranked, rated, and provided structured corrections of model responses for safety, accuracy, and appropriateness. Wrote high-quality prompts and responses to improve AI conversational abilities and diagnostic reasoning. • Evaluated AI model outputs for correctness and factual accuracy in clinical and non-clinical scenarios • Identified diagnostic errors and logical inconsistencies in model-generated answers • Rated multi-step reasoning and instructed models in Arabic, English, Spanish, and French • Participated in prompt-response writing and structured evaluations for LLM fine-tuning projects

Performed human feedback evaluation of AI-generated outputs for healthcare and general domains as part of reinforcement learning from human feedback (RLHF) tasks. Ranked, rated, and provided structured corrections of model responses for safety, accuracy, and appropriateness. Wrote high-quality prompts and responses to improve AI conversational abilities and diagnostic reasoning. • Evaluated AI model outputs for correctness and factual accuracy in clinical and non-clinical scenarios • Identified diagnostic errors and logical inconsistencies in model-generated answers • Rated multi-step reasoning and instructed models in Arabic, English, Spanish, and French • Participated in prompt-response writing and structured evaluations for LLM fine-tuning projects

2021 - Present
Mercor

Medical and General Translation Data Annotator & Reviewer

MercorText
Reviewed, annotated, and translated medical and general documents across Arabic, English, Spanish, and French for AI training purposes. Assessed domain-specific terminology accuracy, clarity, and contextual appropriateness in machine-generated translations. Annotated data to create and validate multilingual training datasets for Natural Language Processing models. • Translated and labeled sensitive medical content ensuring high fidelity for AI/ML usage • Generated and evaluated gold-standard Q&A data for model training and evaluation • Provided medical translation QA for AI-assisted translation outputs • Contributed to dataset enrichment covering 4 major global languages

Reviewed, annotated, and translated medical and general documents across Arabic, English, Spanish, and French for AI training purposes. Assessed domain-specific terminology accuracy, clarity, and contextual appropriateness in machine-generated translations. Annotated data to create and validate multilingual training datasets for Natural Language Processing models. • Translated and labeled sensitive medical content ensuring high fidelity for AI/ML usage • Generated and evaluated gold-standard Q&A data for model training and evaluation • Provided medical translation QA for AI-assisted translation outputs • Contributed to dataset enrichment covering 4 major global languages

2020 - Present

Education

S

Sinai University

Bachelor of Dental Surgery, Dentistry

Bachelor of Dental Surgery
2015 - 2020

Work History

F

Freelance

Medical and General Translator

N/A
2020 - Present
S

Self-Directed Projects

Software Developer

N/A
2019 - Present