Rahma Ashraf

Detail-oriented LLM Evaluation and AI Data professional with hands-on training in Large Language Models, Generative AI, and AI output review. Skilled in reviewing and assessing AI-generated responses for quality, relevance, accuracy, clarity, and instruction adherence. Strong background in communication, structured feedback, organization, and quality-focused work through experience in sales and education.

Currently building practical experience in LLM evaluation, data annotation, preference labeling, translation quality assessment, error annotation, and AI output review. Fluent in English (C1) with experience communicating professionally with international customers, particularly American and British clients.

Sales Representative at Nobles Junior Bazaar (2025-11 – 2026-07)

• Communicated with international customers, particularly American and British clients, using professional English.
• Adapted communication style to different customer needs and personalities; analyzed requirements to provide tailored recommendations.
• Handled objections professionally, maintained service quality, and trained new employees to improve team performance.
• Worked toward daily sales targets in a fast-paced, customer-facing environment.

French Teacher Assistant at -self employed (2020-09 – 2025-09)

• Assisted with preparing lesson plans, educational materials, and reviewing/grading student assignments with high precision.
• Developed strong attention to detail by reviewing student work and identifying subtle errors.
• Organized educational materials, supported structured learning, and strengthened communication and feedback skills.

Bachelor of Archaeology in Archaeology – Aswan University (2018 – 2022)