Andres Argueta
San Antonio,Texas
Summary
AI training specialist with a strong foundation in prompt engineering and model evaluation workflows. Demonstrated ability to conduct in-depth analyses and provide actionable insights, ensuring dataset reliability and optimizing AI outputs for enhanced user interaction and overall system efficacy.
Overview
3
3
years of professional experience
Work History
AI Trainer
Mercor
San Antonio
09.2023 - Current
- Curated and validated high-stakes training datasets by annotating multi-modal inputs (text, image, video) and implementing quality control protocols that ensured alignment with model safety guidelines, significantly improving annotation accuracy.
- Executed end-to-end RLHF pipelines for frontier AI models, ranking multi-turn conversational responses and debugging model outputs for logical consistency while writing adversarial prompts to stress-test reasoning capabilities across diverse domains (coding, finance, legal), enhancing model robustness.
- Conducted rigorous model evaluations using custom rubrics to assess factual accuracy, instruction-following, and edge-case handling, providing feedback that informed model fine-tuning iterations for clients including OpenAI and Anthropic, facilitating product improvements.
AI Data Trainer
Meridial by Invisible
San Antonio
01.2025 - 02.2026
- Evaluated code quality and conversational AI outputs for Google's personalization models, testing chatbot responses across diverse user scenarios to improve recommendation accuracy and contextual relevance
- Contributed behavioral and preference data to train personalization systems, improving user intent modeling and content delivery
- Debugged training datasets by identifying labeling inconsistencies and implementing quality control measures that improved dataset reliability for ML pipelines
- Conducted web quality assessments, analyzing hundreds of websites with E-E-A-T frameworks to classify content quality for search ranking algorithms
AI Data Annotation Specialist
RWS Group
San Antonio
06.2024 - 02.2026
- Evaluated and annotated audio samples for speech recognition and voice AI models, delivering feedback on transcription accuracy, speaker identification, acoustic feature labeling, and natural language understanding to enhance model performance
- Developed and implemented code-based workflows to assess model accuracy and ensure precision of conversational AI outputs while debugging speech-to-text pipelines to meet quality benchmarks
- Labeled and annotated multimodal datasets with precise temporal markers and color-coded classifications, enabling accurate entity recognition, sound event detection, and sentiment analysis for training large language models and digital assistants
Education
Bachelors of Engineering - Mechanical Engineering
Texas A&M University
College Station, TX05-2029
Associates of International Business/Trade/Commerce - International Business
San Antonio College
San Antonio, TX05-2024
Skills
- Annotation Auditing Expert
- Data Annotation Accuracy
- Specialist in AI Training
- Python & SQL Expert
- NLP & Computer Vision Expert
- Data quality assurance
- Prompt engineering
- Machine learning
- Client communication
- Project Management
Timeline
AI Data Trainer
Meridial by Invisible
01.2025 - 02.2026
AI Data Annotation Specialist
RWS Group
06.2024 - 02.2026
AI Trainer
Mercor
09.2023 - Current
Bachelors of Engineering - Mechanical Engineering
Texas A&M University
Associates of International Business/Trade/Commerce - International Business
San Antonio College