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Mohamed Ali

Mohamed Ali

AI Training Specialist (AI Content & Evaluation Specialist)

Egypt flagZagazig, Egypt
$12.00/hrIntermediateScale AI

Key Skills

Software

Scale AIScale AI

Top Subject Matter

Language Domain Expertise: Bilingual (Arabic & English)
Product Operations & AI Interaction
General Science & Tech Literacy

Top Data Types

TextText
AudioAudio
ImageImage

Top Task Types

TranscriptionTranscription
ClassificationClassification
Evaluation/RatingEvaluation/Rating
Red TeamingRed Teaming
RLHFRLHF

Freelancer Overview

AI Training Specialist (Generalist). Brings 16+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, Zagazig University. AI-training focus includes data types such as Text, Audio, and Image and labeling workflows including Evaluation, Rating, and Transcription.

IntermediateEnglishArabic

Labeling Experience

AI Training Specialist (Images)

ImageSegmentation
"Successfully executed image editing tasks focused on object removal and subsequent semantic reconstruction (In-painting). The workflow involved precisely masking target objects (like furniture pieces) within an integrated image editor. The core task included writing detailed, context-aware prompts to guide the generative model in either removing the objects or reconstructing the scene, ensuring logical background filling and consistency."

"Successfully executed image editing tasks focused on object removal and subsequent semantic reconstruction (In-painting). The workflow involved precisely masking target objects (like furniture pieces) within an integrated image editor. The core task included writing detailed, context-aware prompts to guide the generative model in either removing the objects or reconstructing the scene, ensuring logical background filling and consistency."

2026 - 2026

AI Training Specialist (Audio)

AudioClassification
"Expertly evaluated Text-to-Speech (TTS) and Speech-to-Text (STT) outputs, focusing on linguistic accuracy, dialect consistency (Arabic/English), and prosody (naturalness). Performed comparative analysis between multiple audio samples to assess alignment with reference speakers and source text. Provided detailed Rationales for each rating, auditing the model's performance on noise levels, pronunciation, and emotional tone." • Delivered detailed transcriptions with careful attention to dialectal variations. • Conducted phonetic and tonal evaluations of TTS outputs. • Improved AI audio quality through critical annotation and review. • Utilized proprietary platforms for efficient workflow management.

"Expertly evaluated Text-to-Speech (TTS) and Speech-to-Text (STT) outputs, focusing on linguistic accuracy, dialect consistency (Arabic/English), and prosody (naturalness). Performed comparative analysis between multiple audio samples to assess alignment with reference speakers and source text. Provided detailed Rationales for each rating, auditing the model's performance on noise levels, pronunciation, and emotional tone." • Delivered detailed transcriptions with careful attention to dialectal variations. • Conducted phonetic and tonal evaluations of TTS outputs. • Improved AI audio quality through critical annotation and review. • Utilized proprietary platforms for efficient workflow management.

2026 - 2026

AI Training Specialist (Text)

TextRLHF
"Conducted high-level Side-by-Side (SxS) evaluations of responses generated by two different LLM models. Tasks involved crafting complex prompts to stress-test model boundaries and evaluating the outputs based on strict dimensions: Factuality, Instruction Following, Safety, and Tone. Provided deep-dive Rationales to justify why one model's response outperformed the other, identifying subtle errors such as hallucinations, circular reasoning, and logical inconsistencies." • Performed RLHF-based ranking and evaluation of large language model outputs. • Audited multilingual scientific and technical data for logic and factual correctness. • Compared and annotated prompt-response pairs to identify optimal outputs. • Ensured compliance with strict annotation and safety guidelines.

"Conducted high-level Side-by-Side (SxS) evaluations of responses generated by two different LLM models. Tasks involved crafting complex prompts to stress-test model boundaries and evaluating the outputs based on strict dimensions: Factuality, Instruction Following, Safety, and Tone. Provided deep-dive Rationales to justify why one model's response outperformed the other, identifying subtle errors such as hallucinations, circular reasoning, and logical inconsistencies." • Performed RLHF-based ranking and evaluation of large language model outputs. • Audited multilingual scientific and technical data for logic and factual correctness. • Compared and annotated prompt-response pairs to identify optimal outputs. • Ensured compliance with strict annotation and safety guidelines.

2026 - 2026

Education

Z

Zagazig University

Bachelor of Science, Natural Sciences

Bachelor of Science
Not specified

Work History

F

Freelance

Web and Mobile Developer

Zagazig
2011 - Present
R

Ruoaa.com

Science and Technology Writer & Publisher

Zagazig
2013 - 2025