Adiatu Mutairu-AI Data Annotation Specialist

I worked as a data annotation specialist, preparing high-quality datasets for AI model development. My main focus was on reviewing, labeling, and organizing text, audio, and video data, including mathematical and logical tasks, to ensure each dataset met technical and contextual standards. I collaborated closely with AI developers to refine model outputs and improve data consistency.

Annotated and labeled large datasets for AI and mathematical model training.

Reviewed AI-generated math content for accuracy, clarity, and tone alignment.

Ensured all annotations met quantitative reasoning and project requirements.

Used tools such as Labelbox, SuperAnnotate, and Prodi.gy for structured data labeling.

Maintained high quality and accuracy metrics in all annotation tasks.

As part of the AI training team, I supported model development through data annotation, quality control, and workflow optimization. I helped label and evaluate mathematical and visual datasets, improving model understanding of numerical reasoning and structured problem-solving.

Annotated and validated text and image datasets for machine learning projects.

Supported math-related annotation and quality control initiatives.

Helped refine AI model behavior on mathematical word problems and logic tasks.

Assisted in improving annotation guidelines and workflow efficiency.

Contributed to team discussions aimed at enhancing data accuracy and consistency.