Abdelrhman Taha

Key Skills

Software

Appen

Clickworker

Data Annotation Tech

Google Cloud Vertex AI

Labelbox

OneForma

Scale AI

Toloka

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Medical Dicom

Text

Top Task Types

Evaluation Rating

Prompt Response Writing SFT

Red Teaming

RLHF

Text Generation

Freelancer Overview

I’m a highly skilled AI trainer with over two years of experience in data labeling, prompt engineering, and large language model (LLM) evaluation. I’ve worked on multiple high-impact projects at Outlier AI, including BULBA, Flamingo,, where I consistently delivered top-quality contributions. My role as a Squad Reviewer allowed me to train new contributors, audit their work, and provide performance-boosting feedback—sharpening both my leadership and communication skills. My expertise lies in improving model accuracy and efficiency through detailed prompt crafting, response evaluation, and quality assurance. I’ve also worked on speech and audio-based RLHF tasks at Labelbox and later served as a QA auditor on the SRT-focused “Omni” project. Being part of elite teams like SWAT and Oracle reflects my commitment to quality and my ability to consistently meet the highest standards in the AI training data field.

Labeling Experience

QA audit for SRT omni project

LabelboxTextRLHF

"The project aimed to enhance the model’s overall correctness and accuracy through Reinforcement Learning from Human Feedback (RLHF). Our responsibilities included crafting effective prompts, evaluating model responses, and rewriting outputs to align with high-quality standards and improve model performance."

"The project aimed to enhance the model’s overall correctness and accuracy through Reinforcement Learning from Human Feedback (RLHF). Our responsibilities included crafting effective prompts, evaluating model responses, and rewriting outputs to align with high-quality standards and improve model performance."

2024

QA audit for Model evaluation and rewrite projects for clients such as google, meta, XAI

Scale AITextRLHFPrompt Response Writing SFT

the project aim was improving LLM performance by training and refining model outputs through prompt evaluation, rewriting, and feedback.

the project aim was improving LLM performance by training and refining model outputs through prompt evaluation, rewriting, and feedback.

2024 - 2025

Education

Work History