Erick Mutuku

Exemptional AI Data Annotation and Evaluation Specialist with over 2 years of hands-on experience supporting the training, evaluation, and quality improvement of large-scale AI models. Proven track record in high-volume data annotation, content evaluation, and guideline-based decision-making across text, image, and multimodal datasets. Recognized for exceptional accuracy, consistency, and ability to deliver reliable human feedback that improves AI model performance.

Adept at remote, independent work and collaborative QA workflows for U.S.-based AI clients.

In mindrift I evaluated AI generated outputs using a structured rubrics. I have maintained a 98% accuracy while handling evaluation tasks across different domains. I worked in mindrift for 1 year and 2 years in outlier.

I have recently graduated from Multimedia University with a degree in Information Technology.