Ayaallah E.

Key Skills

Software

Other

Top Subject Matter

Natural Language Processing

Mathematics Domain Expertise

Physics Domain Expertise

Top Data Types

Text

Top Task Types

RLHF

Freelancer Overview

AI-Trainerin (Arabisch, Englisch & Mathematik) | Outlier. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Master of Science, Technische Universität Darmstadt (2025) and Bachelor of Science, Cairo University, Faculty of Engineering (2024). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and RLHF.

Labeling Experience

AI-Trainerin | Invisible Technologies

OtherTextRLHF

As an AI-Trainerin at Invisible Technologies, I was responsible for training and fine-tuning large language models as part of the Google Gemini project. My tasks included evaluating technical correctness and logical consistency of AI-generated answers, particularly in engineering and mathematics. I also contributed human feedback for reinforcement learning to enhance model reasoning. • Trained and fine-tuned LLMs with complex technical prompts and analytical tasks. • Carried out multilayered evaluations of model outputs for accuracy and coherence. • Produced high-quality datasets for reinforcement learning from human feedback (RLHF). • Ensured rigorous adherence to quality assurance protocols for AI data labeling.

2025 - 2025

AI-Trainerin (Arabisch, Englisch & Mathematik) | Outlier

OtherText

As an AI-Trainerin at Outlier, I validated and created training data for AI systems in both Arabic and English. I focused on solving and explaining advanced mathematics and physics problems to enhance the problem-solving skills of AI models. I also analyzed and corrected errors or hallucinations in AI outputs to improve data quality. • Multilingual creation and validation of training data sets for text-based AI models targeting language and STEM tasks. • Designed and explained mathematical and physics solutions to challenge and develop AI understanding. • Conducted error identification and implemented effective correction strategies on AI-generated responses. • Collaborated closely with AI product teams to align labeling practices with project standards.

2024 - 2025

Education

Work History