ELİF ŞENOL

I am an AI Data Annotation and Content Review Specialist with hands-on experience in remote, English-language AI projects. I have worked on evaluating, labeling, and reviewing AI-generated content based on detailed project guidelines, with a strong focus on accuracy, consistency, and quality control.

My background includes working with structured and unstructured text data, identifying errors, improving content clarity, and supporting AI model performance through careful human evaluation. I am highly detail-oriented, analytical, and comfortable working independently in task-based and deadline-driven environments.

I hold a Bachelor’s degree in International Relations, which strengthened my research, analytical thinking, and structured writing skills. In addition, I have a Data Science certification that supports my understanding of data-focused workflows and analytical processes.

Alongside AI projects, I have professional experience in English language instruction, which has enhanced my ability to analyze language accuracy, context, and meaning—skills that directly support my work in AI content evaluation and data annotation.

I am interested in remote and international opportunities in AI training, data annotation, content review, and quality assurance. I value clear guidelines, organized workflows, and delivering reliable, high-quality results in collaborative global teams.