Mathias Kuria

AI training and evaluation specialist with 4+ years of experience supporting large-scale AI development through data annotation, model evaluation, and quality analysis. Experienced in identifying model failures, analyzing AI outputs for bias, misinformation, and unsafe responses, and producing structured datasets used to improve model performance and safety.

Background in IT systems administration, AI Training and technical support, with a strong ability to document vulnerabilities and communicate insights to both technical and non-technical stakeholders. Recognized for analytical thinking, precision, and ability to translate structured data into high-quality outputs.

AI & Data Annotation Specialist (Remote Contractor) at Pareto AI / Atlas / I-merit / Remotasks / Tarvent / Uber AI (2024-01 – Present)

• Produced high-quality labeled datasets across text, image, and video annotation projects, maintaining high accuracy
• Evaluated AI-generated outputs to identify inconsistencies, improving dataset reliability and model training quality
• Applied structured annotation techniques including bounding boxes, segmentation, classification, and NLP tagging
• Led quality control and data training operations for AI development projects
• Translated structured data into natural-language outputs, improving usability for AI training pipelines
• Delivered large-scale annotation tasks within strict deadlines in distributed remote environments
• Worked with cross-functional teams to improve annotation workflows and enhance model training accuracy
• Created detailed documentation and reporting to support model iteration and improvement
• Provided mentorship to junior trainers and supported tool refinement initiatives

AI & Data Annotation Specialist at Impact Outsourcing (2024-05 – 2024-11)

• Annotated multimodal datasets (image, video, text) supporting machine learning model development
• Achieved high annotation precision through detailed quality checks and adherence to guidelines
• Preprocessed and structured raw data, improving annotation efficiency and output consistency
• Collaborated with cross-functional teams to interpret requirements and deliver accurate datasets
• Documented workflows and quality metrics to support continuous improvement

IT Administrator at Chandaria Shah & Associates LLP (2024-11 – 2025-11)

• Delivered enterprise-level technical support, reducing downtime and improving operational efficiency
• Managed Microsoft 365 and Zoho environments, resolving access and system performance issues
• Implemented internal workflow and task management systems, improving team coordination and productivity
• Conducted IT audits and system validations, strengthening data integrity and operational reliability
• Configured network infrastructure, firewalls, and cloud systems to ensure stable connectivity
• Trained staff on enterprise systems, improving adoption and reducing support requests

Digiproctor IT Operations Specialist (Part-Time) at Nursing Council of Kenya / Clinical Officers Council (2022-01 – Present)

• Supported national online examination systems requiring real-time technical precision
• Resolved live technical issues, minimizing downtime during high-stakes operations
• Monitored system performance and implemented preventive troubleshooting strategies
• Ensured secure handling of sensitive digital data and examination processes

Bachelor in Business Information Technology – Murang'a University of Technology

Certificate in Data Analytics (Excel & Power BI) – Moringa School

Certificate in AI Fundamentals – IBM Be Techified School

Certificate in Project Management and other tools for career development – University of Illinois, Niles