Key Skills

Software

Appen

Top Subject Matter

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Top Data Types

Document

Image

Text

Top Task Types

Audio Recording

Computer Programming Coding

Emotion Recognition

Evaluation Rating

Text Summarization

Freelancer Overview

I am a detail-oriented AI Training and Data Annotation Specialist with experience in text, image, and video labeling as well as LLM evaluation. My work includes assessing large language models in English, French, and Arabic, ensuring accuracy, coherence, and bias reduction in AI outputs. With a strong background in scientific research and data analysis, I bring precision, consistency, and a structured approach to every project. I have contributed to diverse AI projects ranging from NLP tasks (sentiment analysis, classification, entity recognition) to computer vision annotation (object detection, segmentation, and healthcare imagery). My multilingual expertise, combined with a rigorous academic foundation in biochemistry and molecular biology, allows me to handle complex datasets with a high level of accuracy and reliability. I am passionate about contributing to the development of cutting-edge AI systems by delivering high-quality training data.

Labeling Experience

LLM Evaluation and Text Annotation Specialist

AppenTextClassificationQuestion Answering

Evaluated outputs from large language models by assessing accuracy grammar factual correctness, and bias detection. Annotated multilingual text datasets (English, French, Arabic) for tasks such as classification, sentiment analysis, and NER. Delivered high-quality, consistent annotations with 98%+ accuracy across thousands of text samples. Collaborated with quality assurance teams to improve prompt design and optimize dataset reliability for training AI models.

Evaluated outputs from large language models by assessing accuracy grammar factual correctness, and bias detection. Annotated multilingual text datasets (English, French, Arabic) for tasks such as classification, sentiment analysis, and NER. Delivered high-quality, consistent annotations with 98%+ accuracy across thousands of text samples. Collaborated with quality assurance teams to improve prompt design and optimize dataset reliability for training AI models.

2023

Education

Work History