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Dylan A.

Dylan A.

AI Training Specialist | Philosophy of Mind, Formal Logic & Argumentation

Singapore flagSingapore, Singapore

Key Skills

Software

No software listed

Top Subject Matter

Philosophy of Mind
Formal Logic & Argumentation

Top Data Types

ImageImage
VideoVideo
TextText

Top Task Types

Text SummarizationText Summarization
Text GenerationText Generation
Question AnsweringQuestion Answering
ClassificationClassification
Emotion RecognitionEmotion Recognition
Object DetectionObject Detection

Freelancer Overview

Analytical Philosophy graduate from NUS specializing in logic, epistemology, and philosophy of mind. Combines rigorous argument evaluation and conceptual analysis with Python and data validation skills to train, evaluate, and refine complex AI reasoning models with high precision and intellectual rigor. AI Training & Data Labeling Experience: As a Philosophy graduate with formal training in logic, computation, and data analytics, I bring a highly structured approach to AI training and data labeling. My academic background focuses heavily on breaking down complex premises, identifying logical fallacies, and evaluating conceptual frameworks—skills that translate directly into generating high-quality prompt-response pairings and evaluating LLM outputs. Furthermore, my upcoming publication in the philosophy of mind ("Synthetic Synapses and Virtual Minds") demonstrates my deep engagement with the exact theoretical boundaries of machine intelligence and reasoning. Complementing this domain expertise is my practical experience in data validation and quantitative research. I have engineered and validated over 3,800 data features, systematically tested reasoning models to improve robustness by 23%, and utilized Python for data workflows. This unique combination allows me to approach data labeling not just as a repetitive task, but as a rigorous exercise in quality assurance, ensuring that training data is logically sound, factually accurate, and nuanced enough to improve AI performance.

Labeling Experience

While I have not held the specific title of 'AI Labeler,' I have extensive experience in data validation, feature engine

While I have not held the specific title of 'AI Labeler,' I have extensive experience in data validation, feature engineering (over 3,800 features), and testing reasoning models to improve robustness. Combined with my formal background in logic and philosophy from NUS, I regularly perform the exact conceptual analysis and data quality verification required for training advanced AI models.

Not specified

Education

B

Bachelors of Arts in Philosophy

Degree not specified

Not specified
Not specified

Work History

C

Company not specified

Independent Researcher & Data Analyst (2021–Present) Evaluated complex logical arguments, generated hypotheses, and ap

Location not specified
2021 - Present