Abdelrahamn Shaban

Key Skills

Software

Data Annotation Tech

Mercor

Appen

Top Subject Matter

AI model training and evaluation

general conversation

and prompt engineering

Top Data Types

Text

Video

Audio

Top Task Types

Prompt Response Writing SFT

Bounding Box

Segmentation

RLHF

Transcription

Red Teaming

Evaluation Rating

Freelancer Overview

AI Trainer & Prompt Engineer (Outlier). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Outlier, Data Annotation Tech, and Mercor. Education includes Bachelor of Physical Therapy, Cairo University – Kasr Al Ainy (2025). AI-training focus includes data types such as Text and Video and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

AI Multimedia Training Specialist (Mercor)

MercorVideo

Contributed to projects aimed at enhancing AI comprehension of videos, audio recordings, and written texts by training and evaluating models to interpret multimedia information. Responsibilities included assessing model understanding, categorizing multimedia inputs, and rating AI outputs for quality and correctness. Collaborated on projects to increase interaction quality between AI and various content formats. • Evaluated AI interactions with video and audio prompts. • Annotated multimedia content for model training purposes. • Rated model accuracy and interpretability of diverse data modalities. • Utilized the Mercor platform throughout project duration.

Contributed to projects aimed at enhancing AI comprehension of videos, audio recordings, and written texts by training and evaluating models to interpret multimedia information. Responsibilities included assessing model understanding, categorizing multimedia inputs, and rating AI outputs for quality and correctness. Collaborated on projects to increase interaction quality between AI and various content formats. • Evaluated AI interactions with video and audio prompts. • Annotated multimedia content for model training purposes. • Rated model accuracy and interpretability of diverse data modalities. • Utilized the Mercor platform throughout project duration.

2024 - 2025

AI Trainer & Prompt Engineer (Outlier)

Text

Worked on diverse AI training projects over a five-year period, focusing on evaluation and annotation of AI model responses across several leading platforms. Responsibilities included prompt engineering, response quality assessment, and annotation of textual conversational data. Developed expertise in model behavior analysis and AI system refinement through evaluation tasks. • Evaluated AI-produced text for relevance, truthfulness, and style. • Annotated and rated language model outputs for multiple projects. • Created and refined prompts to improve model performance. • Worked with Outlier, Data Annotation, and Mercor platforms.

Worked on diverse AI training projects over a five-year period, focusing on evaluation and annotation of AI model responses across several leading platforms. Responsibilities included prompt engineering, response quality assessment, and annotation of textual conversational data. Developed expertise in model behavior analysis and AI system refinement through evaluation tasks. • Evaluated AI-produced text for relevance, truthfulness, and style. • Annotated and rated language model outputs for multiple projects. • Created and refined prompts to improve model performance. • Worked with Outlier, Data Annotation, and Mercor platforms.

2021 - 2025

AI Data Annotation Specialist (Data Annotation)

Data Annotation TechTextPrompt Response Writing SFT

Specialized in designing prompts and evaluating large language model responses for appropriateness, truthfulness, harmlessness, and quality. Performed supervised fine-tuning tasks by writing diverse prompts and reviewing AI-generated replies. Focused on rating clarity, stylistic fidelity, and verbosity in model outputs for improvement cycles. • Crafted prompts and reviewed AI outputs for multiple annotation tasks. • Participated in SFT and RLHF data collection for model fine-tuning. • Applied detailed scoring for writing style and content robustness. • Employed the Data Annotation platform for project work.

Specialized in designing prompts and evaluating large language model responses for appropriateness, truthfulness, harmlessness, and quality. Performed supervised fine-tuning tasks by writing diverse prompts and reviewing AI-generated replies. Focused on rating clarity, stylistic fidelity, and verbosity in model outputs for improvement cycles. • Crafted prompts and reviewed AI outputs for multiple annotation tasks. • Participated in SFT and RLHF data collection for model fine-tuning. • Applied detailed scoring for writing style and content robustness. • Employed the Data Annotation platform for project work.

2022 - 2024

Education

Work History