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Yasmeen E.

Yasmeen E.

LLM Evaluation and Text Generation Specialist in English & Arabic|annotator

Egypt flagQalyubia, benha, Egypt

Key Skills

Software

AppenAppen
LabelboxLabelbox
Scale AIScale AI
Other

Top Subject Matter

Conversational AI evaluation
Instruction-following Domain Expertise
dataset validation

Top Data Types

AudioAudio
Computer Code ProgrammingComputer Code Programming
TextText

Top Task Types

Audio RecordingAudio Recording
ClassificationClassification
Evaluation/RatingEvaluation/Rating
Question AnsweringQuestion Answering
Text GenerationText Generation
RLHFRLHF
TranscriptionTranscription

Freelancer Overview

AI Trainer & Data Annotation Specialist (AI training, rating, and conversational evaluation). Core strengths include Other. Education includes Bachelor of Science, Benha University (2025). AI-training focus includes data types such as Text and Audio and labeling workflows including Evaluation, Rating, and RLHF.

Labeling Experience

Audio transcription and transcription quality assurance

OtherAudioAudioTranscriptionTranscription

Completed audio transcription labeling, generating text transcripts from spoken audio. Conducted transcription quality assurance to ensure transcripts matched the audio accurately and consistently. Applied review steps to correct issues and improve overall dataset usability. • Transcribed audio content following transcription guidelines. • Performed transcription quality assurance and consistency checks. • Corrected errors based on guideline-based review criteria. • Ensured accurate output formatting for downstream consumption.

2023 - Present

Localization and cultural adaptation evaluation

OtherTextText

Performed localization and cultural adaptation evaluation for text-based AI outputs. Verified that translations and localized responses align with target language norms and expected cultural context. Applied structured quality checks to maintain consistent labeling outcomes. • Evaluated localized content for language and cultural appropriateness. • Reviewed instruction-following quality within localized responses. • Assessed classification/rating criteria for localization tasks. • Conducted Arabic (Egyptian) and English localization quality assurance.

2022 - Present

PII detection and privacy/safety labeling

OtherTextTextClassificationClassification

Carried out PII detection and privacy/safety review labeling on textual data to support compliant AI training and evaluation. Assessed and categorized content to identify sensitive personal information and unsafe elements. Maintained careful review for accuracy and consistency across annotation batches. • Performed PII detection and privacy-related classification. • Completed safety review to identify sensitive or disallowed content. • Ensured consistent labeling decisions across examples. • Supported dataset readiness for downstream evaluation and training.

2022 - Present

RLHF-oriented AI training and preference evaluation

OtherTextTextRLHFRLHF

Performed RLHF-oriented evaluation and labeling by scoring model outputs and generating preference signals from human feedback. Applied rigorous quality assurance to maintain label accuracy across training and evaluation batches. Ensured labeled content followed required safety and privacy constraints during dataset preparation. • Executed preference ranking and response evaluation for RLHF workflows. • Checked label quality, consistency, and adherence to evaluation rubrics. • Applied safety-oriented review to reduce problematic or disallowed outputs. • Used multilingual evaluation for Arabic (Egyptian) and English samples.

2022 - Present

AI Trainer & Data Annotation Specialist (AI training, rating, and conversational evaluation)

OtherTextText

Provided data annotation and evaluation for conversational AI, instruction-following, and rating tasks using contractor workflows and iterative guideline updates. Performed response scoring, preference ranking, and dataset validation to ensure high-quality labels for model training and assessment. Reviewed samples for consistency, including edge-case identification and corrective feedback for annotators. • Rated responses and performed preference ranking for conversational evaluation. • Validated datasets by checking label consistency and correctness. • Identified edge cases and flagged problematic samples for guideline refinement. • Completed Arabic (Egyptian) and English language evaluation for quality assurance.

2022 - Present

Education

B

Benha University

Bachelor of Science, Electrical Engineering – Computer Department

Bachelor of Science
2025

Work History

O

outlier

ai language trainer

Location not specified
Not specified