Salama Sayde

Key Skills

Software

AWS SageMaker

Clickworker

CloudFactory

Scale AI

Label Studio

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Text

Top Label Types

Classification

Computer Programming Coding

Diagnosis

Emotion Recognition

Entity Ner Classification

Freelancer Overview

I have hands-on experience working with Large Language Model (LLM)–based systems, focusing on prompt engineering, response evaluation, and AI-generated content quality improvement. My background includes building and testing AI applications such as content generation pipelines, conversational AI assistants, recommendation systems, and multi-agent workflows. Through these projects, I developed a strong understanding of how training data quality, labeling accuracy, and human feedback directly impact model performance. I am skilled in evaluating AI outputs for correctness, relevance, coherence, and safety, and in refining prompts and annotations to improve alignment with task requirements. With a solid foundation in NLP and applied AI systems, I can contribute high-quality labeled data, detailed feedback, and consistent evaluations to support AI training, fine-tuning, and model improvement effort

Labeling Experience

LLM Output Evaluation & NLP Data Annotation

Label StudioTextText Generation

Annotated and reviewed AI-generated text for Large Language Models (LLMs). Checked outputs for accuracy, relevance, and clarity, and labeled prompt-response pairs to improve model training. Ensured high-quality, consistent, and well-structured data to help fine-tune and evaluate AI systems.

Annotated and reviewed AI-generated text for Large Language Models (LLMs). Checked outputs for accuracy, relevance, and clarity, and labeled prompt-response pairs to improve model training. Ensured high-quality, consistent, and well-structured data to help fine-tune and evaluate AI systems.

2024

Education

Work History