Khaled Ayman Darwish

Key Skills

Software

Appen

Scale AI

Other

Top Subject Matter

Multilingual Text Annotation (Arabic/English, NER, Sentiment, Intent, QA)

Arabic Audio Speech Annotation (ASR/TTS/Voice UX)

Arabic Speech Technology & Quality Evaluation

Top Data Types

Text

Audio

Image

Document

Top Task Types

Entity (NER) Classification

Transcription

Prompt + Response Writing (SFT)

Freelancer Overview

AI Data Annotation & Training Specialist. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen, Scale AI, and Outlier. Education includes Bachelor of Science, Egyptian E-Learning University. AI-training focus includes data types such as Text and Audio and labeling workflows including Entity (NER) Classification, Transcription, and Evaluation.

Labeling Experience

AI Content & Speech Evaluation Specialist

Audio

Evaluated AI-generated Arabic speech and text for linguistic accuracy, naturalness, fluency, pronunciation, emotional tone, and contextual appropriateness. Assessed system outputs and provided structured feedback to enhance speech clarity, realism, and overall model performance for various Arabic dialects. Supported continuous improvement by rating AI behavior and user experience in speech-driven applications. • Conducted user-focused Arabic voice evaluation for LLM and TTS systems. • Delivered consistency, accuracy, and actionable insights in speech evaluation results. • Produced comprehensive reviews for linguistic and emotional fidelity. • Proven track record of excellent performance evaluations by clients.

Evaluated AI-generated Arabic speech and text for linguistic accuracy, naturalness, fluency, pronunciation, emotional tone, and contextual appropriateness. Assessed system outputs and provided structured feedback to enhance speech clarity, realism, and overall model performance for various Arabic dialects. Supported continuous improvement by rating AI behavior and user experience in speech-driven applications. • Conducted user-focused Arabic voice evaluation for LLM and TTS systems. • Delivered consistency, accuracy, and actionable insights in speech evaluation results. • Produced comprehensive reviews for linguistic and emotional fidelity. • Proven track record of excellent performance evaluations by clients.

2023 - Present

AI Data Annotation & Training Specialist

Scale AIAudioTranscription

Performed audio transcription, speaker diarization, pronunciation assessment, and dialect identification for large-scale AI/LLM and speech technology projects. Annotated and validated Arabic audio data to support ASR, TTS, and conversational AI development with linguistic accuracy and nuanced evaluation. Managed high volumes of diverse dialect audio, focusing on fluency, emotional tone, and context. • Quality-checked and fine-tuned transcribed Arabic speech data for various domains. • Consistently delivered structured feedback to enhance model UX and communication quality. • Addressed real-world dialect and code-switching phenomena in audio sources. • Collaborated with project leaders to continually refine annotation strategies.

Performed audio transcription, speaker diarization, pronunciation assessment, and dialect identification for large-scale AI/LLM and speech technology projects. Annotated and validated Arabic audio data to support ASR, TTS, and conversational AI development with linguistic accuracy and nuanced evaluation. Managed high volumes of diverse dialect audio, focusing on fluency, emotional tone, and context. • Quality-checked and fine-tuned transcribed Arabic speech data for various domains. • Consistently delivered structured feedback to enhance model UX and communication quality. • Addressed real-world dialect and code-switching phenomena in audio sources. • Collaborated with project leaders to continually refine annotation strategies.

2022 - Present

AI Data Annotation & Training Specialist

AppenTextEntity Ner Classification

Contributed high-volume, high-quality data annotation and labeling for Arabic and English datasets, focusing on numerous enterprise AI projects for global tech clients. Performed complex annotation tasks including Named Entity Recognition, sentiment/emotion analysis, intent classification, text categorization, and pairwise preference ranking. Supported quality assurance and rubric-based evaluations to ensure guidelines compliance, accuracy, and high inter-annotator agreement. • Annotated domain-diverse text sources, including social media, reviews, chat logs, and customer support entries. • Specialized in handling Arabic dialects, code-switching, and cultural/contextual nuance. • Supported LLM training through prompt-response, red-teaming, safety testing, and reward model data generation. • Maintained over 98% annotation accuracy using detailed QA and feedback processes.

Contributed high-volume, high-quality data annotation and labeling for Arabic and English datasets, focusing on numerous enterprise AI projects for global tech clients. Performed complex annotation tasks including Named Entity Recognition, sentiment/emotion analysis, intent classification, text categorization, and pairwise preference ranking. Supported quality assurance and rubric-based evaluations to ensure guidelines compliance, accuracy, and high inter-annotator agreement. • Annotated domain-diverse text sources, including social media, reviews, chat logs, and customer support entries. • Specialized in handling Arabic dialects, code-switching, and cultural/contextual nuance. • Supported LLM training through prompt-response, red-teaming, safety testing, and reward model data generation. • Maintained over 98% annotation accuracy using detailed QA and feedback processes.

2022 - Present

Freelance Content Writer & Audio Specialist

OtherTextPrompt Response Writing SFT

Contributed structured prompt-response pairs and text corpora for AI/NLP/Large Language Model training in freelance content roles. Supported natural language generation tasks, text quality improvement, and data creation for annotation projects. Delivered datasets tailored for dialogue modeling, summarization, and user intent representation. • Created custom prompts and responses for various subject areas. • Provided annotated corpora for conversational AI and NLG use cases. • Designed training data to support domain adaptation and tone/style variation. • Aligned text generation to project-specific guidelines and brand voice.

Contributed structured prompt-response pairs and text corpora for AI/NLP/Large Language Model training in freelance content roles. Supported natural language generation tasks, text quality improvement, and data creation for annotation projects. Delivered datasets tailored for dialogue modeling, summarization, and user intent representation. • Created custom prompts and responses for various subject areas. • Provided annotated corpora for conversational AI and NLG use cases. • Designed training data to support domain adaptation and tone/style variation. • Aligned text generation to project-specific guidelines and brand voice.

2019 - 2022

Education

Work History