Miguel Rivera
Detail oriented with analytical skills, experience analyzing information, summarizing and sorting data into logical and organized forms, and crafting clear, effective written reports. Strong critical thinking, pattern recognition, and quality control skills, which are highly relevant to the skill set required for the AI Training/Data Annotation/Model Evaluation roles. Familiar with following exact instructions and procedures, with experience in both error detection and consistent high quality judgment. Dedicated to enhancing the performance of AI through accurate data labeling, with excellent feedback and reasoning skills.
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About
Detail-oriented with analytical skills, experience analyzing information, summarizing and sorting data into logical and organized forms, and crafting clear, effective written reports. Strong critical thinking, pattern recognition, and quality control skills, which are highly relevant to the skill set required for the AI training/data annotation/model evaluation roles. Familiar with following exact instructions and procedures, with experience in both error detection and consistent, high-quality judgment.
Dedicated to enhancing the performance of AI through accurate data labeling, with excellent feedback and reasoning skills.
Experience
AI Training & Evaluation (Independent Practice)
2024 – Present
- Conducted self‑directed training exercises evaluating AI responses for accuracy, clarity, and safety.
- Created structured prompts and analyzed model outputs to identify strengths, weaknesses, and failure patterns.
- Practiced labeling tasks including sentiment analysis, classification, summarization, and content categorization.
- Developed familiarity with common annotation workflows used by companies like Scale AI, TELUS, and Appen.
Education
High School Diploma
Charlotte, NC
Relevant coursework: computer science, history, economics, English composition, and research writing.
