Luis - AI Training & Evaluation Specialist with 6+ years in AI & Data Annotation

Specializes in assessing and improving AI system outputs for accuracy and reliability.

Experienced in labeling and reviewing datasets for machine learning, ensuring adherence to strict guidelines.

Ensures high standards in data and AI output quality through detailed review processes.

Works effectively with AI developers and data scientists to enhance training and evaluation workflows.

Collaborate with AI systems and large language models to refine outputs for clarity, accuracy, and reliability across text and visual-related tasks.. Evaluate image-based and contextual AI outputs using structured guidelines and quality standards.. Apply careful observation and analytical reasoning to identify inconsistencies, hallucinations, or safety concerns in AI responses.. Conduct web research to verify information and support accurate AI-generated outputs.. Design and iterate prompts to improve AI reasoning, visual interpretation, and task completion quality.. Provide structured feedback and evaluations to improve AI training datasets and model performance.

Labeled, reviewed, and curated datasets for machine learning applications, including text and visual content classification tasks.. Applied detailed project guidelines to ensure annotation accuracy, consistency, and compliance with quality standards.. Ranked and compared AI outputs based on relevance, accuracy, and adherence to task instructions.. Maintained strong attention to detail while completing high-volume annotation and evaluation tasks.. Contributed to improving AI model performance through systematic data review and structured evaluation.