Ahmed Salem

Key Skills

Software

Appen

Data Annotation Tech

Mindrift

Remotasks

Scale AI

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Top Task Types

Audio Recording

Bounding Box

Classification

Computer Programming Coding

Evaluation Rating

Freelancer Overview

I have hands-on experience in AI training data preparation, with a strong focus on labeling and annotating text, images, and videos for machine learning and deep learning applications. My work has included tasks such as LLM evaluation, prompt-based text generation, image classification, and object detection using tools like bounding boxes and entity recognition. I’m skilled in maintaining high annotation accuracy and following detailed labeling guidelines to ensure quality and consistency across datasets. With a background in artificial intelligence, I bring a solid understanding of how annotated data drives model performance. I’m particularly passionate about contributing to projects involving natural language processing, computer vision, and large language models. My attention to detail, adaptability to different labeling tools, and commitment to delivering reliable datasets make me a valuable asset for AI training initiatives.

Labeling Experience

Text Generation and Annotation for LLM Fine-Tuning

LabelboxTextText GenerationEvaluation Rating

Evaluated and rated model-generated responses to questions based on specific rating criteria, focusing on accuracy, coherence, and relevance. Each response was rated according to predefined guidelines to ensure high-quality feedback for model improvement. The project involved providing detailed annotations for various LLM-generated outputs, aiming to fine-tune and enhance the model’s ability to respond effectively and appropriately.

Evaluated and rated model-generated responses to questions based on specific rating criteria, focusing on accuracy, coherence, and relevance. Each response was rated according to predefined guidelines to ensure high-quality feedback for model improvement. The project involved providing detailed annotations for various LLM-generated outputs, aiming to fine-tune and enhance the model’s ability to respond effectively and appropriately.

2024 - 2024

Education

Work History