Bilingual AI Trainer & Data Quality Specialist (EN/ES) with a quantitative background in Civil Engineering and 13+ years in data management and process optimization. Currently specializing in LLM fine-tuning, RLHF, and SFT dataset annotation for platforms like CrowdGen and Outlier.ai.
Core Expertise & Impact:
AI & LLM Evaluation: Expert in prompt engineering evaluation, multi-turn conversation rating, dataset labeling, and RLHF/SFT pipelines in English and Spanish.
Safety & QA: Skilled in model hallucination identification, safety alignment verification, and systematic failure analysis to elevate output accuracy and reliability.
Data Management: Proven ability in relational data modeling, ETL workflow concepts, SQL databases, and rigorous Quality Assurance controls.
Career Focus: Seeking remote opportunities (Contract/Full-Time) in AI Training, Data Annotation, and Data QA to optimize next-generation LLMs and safety alignment for global teams.
