Tremoh User

I am an AI Data Specialist and Linguistics graduate with over three years of hands-on experience evaluating AI-generated content and improving multilingual datasets. I combine linguistic rigor with practical QA workflows to raise model performance across languages.

My work spans large-scale text evaluation, factual checking, and fluency improvements—I reviewed and scored over 5,000 AI-generated responses and annotated more than 1,500 images for computer vision tasks. I bring native-level US English and advanced proficiency in French, Spanish, and Swahili to every project.

As a remote collaborator I have driven quality improvements through peer QA, refined evaluation guidelines with developers, and conducted multilingual A/B testing and localization for global datasets. I emphasize cultural accuracy, safety, and coherence in model outputs.

I am attentive to detail, process-oriented, and experienced with tools such as Label Studio and CVAT, delivering measurable improvements in model alignment, accuracy, and linguistic naturalness.