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Zeyad K.

AI training data annotator (transcription + rating)

Egypt flagCairo, Egypt

Key Skills

Software

Don't disclose

Top Subject Matter

Arabic/English transcription and conversational content safety (search results rating)
Egyptian Arabic chatbot training (conversational evaluation and rating)

Top Data Types

AudioAudio
TextText

Top Task Types

TranscriptionTranscription

Freelancer Overview

AI training data annotator (transcription + rating) at Outlier. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Engineering, Capitol University (2025). AI-training focus includes data types such as Audio and Text and labeling workflows including Transcription, Evaluation, and Rating.

Labeling Experience

AI training data annotator (chatbot evaluation) at Prolific

Don't discloseTextTextData CollectionData Collection

Annotated and rated conversational data for AI chatbot training and research studies focused on Egyptian Arabic dialect and dialogue quality. Provided detailed feedback on model responses and evaluated usability and relevance across different scenarios. Performed quality testing and synthesized findings into actionable recommendations to improve dialogue naturalness and cultural appropriateness. • Conversational annotation and response rating • Feedback on model responses for quality and cultural fit • Scenario-based evaluation of usability and relevance • Quality testing and reporting of actionable recommendations

2026 - Present

AI training data annotator (transcription + rating) at Outlier

Don't discloseAudioAudioTranscriptionTranscription

Provided bilingual (English/Arabic) audio transcription with accurate timestamps and speaker labels according to project annotation guidelines. Reviewed and rated search results for relevance and quality using defined rating scales, and flagged culturally sensitive or inappropriate content. Identified and corrected labeling inconsistencies and documented reproducible edge cases with clear instructions. • Transcription with timestamps and speaker labeling (English/Arabic) • Relevance/quality evaluation of search results using rating scales • Flagging culturally sensitive or inappropriate content • Guideline update proposals and escalation of data quality issues

2026 - Present

Education

C

Capitol University

Bachelor of Engineering, Engineering

Bachelor of Engineering
2025

Work History

P

Prolific ................................................................

♦ AI training

Location not specified
2026 - Present
O

Outlier ................................................................

♦ AI training

Location not specified
2026 - Present