Micheal Samaniego

Key Skills

Software

Label Studio

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Evaluation Rating

Classification

Freelancer Overview

I am a detail-oriented AI Training and Data Annotation Specialist with 4 years of hands-on experience supporting machine learning and large language model development. My expertise covers high-accuracy data labeling and response evaluation across text, image, and multi-modal datasets in domains such as NLP, computer vision, and reasoning-based tasks. I have consistently delivered high-quality annotated datasets, maintained a 99%+ annotation accuracy rate, and contributed to both dataset refinement and quality assurance processes. I am skilled in using annotation platforms, Excel, Google Sheets, and basic Python for data handling, and have been recognized for my analytical precision, fast turnaround, and strict adherence to guidelines. My experience also includes training junior annotators, performing complex reasoning evaluations, and ensuring compliance with content moderation policies.

Labeling Experience

Senior AI Data Annotator / AI Trainer

Label StudioTextEvaluation Rating

Annotated and validated over 150,000 text, image, and multi-modal data points with a focus on accuracy and consistency. Evaluated AI-generated outputs using structured rubrics for logical reasoning, factual correctness, and policy adherence. Provided detailed feedback to improve AI models and assisted in training junior annotators on best practices. • Maintained 99%+ annotation accuracy rate. • Identified hallucinations, biases, and errors in LLM responses. • Contributed to conversational AI and knowledge system datasets. • Performed quality assurance and supported guideline development.

Annotated and validated over 150,000 text, image, and multi-modal data points with a focus on accuracy and consistency. Evaluated AI-generated outputs using structured rubrics for logical reasoning, factual correctness, and policy adherence. Provided detailed feedback to improve AI models and assisted in training junior annotators on best practices. • Maintained 99%+ annotation accuracy rate. • Identified hallucinations, biases, and errors in LLM responses. • Contributed to conversational AI and knowledge system datasets. • Performed quality assurance and supported guideline development.

2022

AI Content Reviewer & Quality Analyst

Label StudioTextClassification

Labeled NLP datasets including classification, sentiment analysis, entity recognition, and summarization tasks for large language models. Conducted quality audits to ensure compliance with annotation guidelines and flagged harmful or non-compliant outputs. Collaborated on refining guidelines and implemented quality improvements to reduce error rates. • Performed audits on large annotation batches. • Reduced error rates by 18% through quality initiatives. • Worked with project managers to enhance annotation consistency. • Supported content moderation and platform policy compliance.

Labeled NLP datasets including classification, sentiment analysis, entity recognition, and summarization tasks for large language models. Conducted quality audits to ensure compliance with annotation guidelines and flagged harmful or non-compliant outputs. Collaborated on refining guidelines and implemented quality improvements to reduce error rates. • Performed audits on large annotation batches. • Reduced error rates by 18% through quality initiatives. • Worked with project managers to enhance annotation consistency. • Supported content moderation and platform policy compliance.

2020 - 2022

Education

Work History