Philip K.

Key Skills

Software

Other

Top Subject Matter

LLM fine-tuning

instruction following

and computer vision dataset annotation

Top Data Types

Image

Text

Audio

Top Task Types

Bounding Box

Question Answering

Classification

Freelancer Overview

Senior AI Training Consultant (Freelance). Brings 14+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Doctor of Philosophy, Stanford University (2023) and Bachelor of Science, Georgia Institute of Technology (2017). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Bounding Box, Question Answering, and Classification.

Labeling Experience

Senior AI Training Consultant (Freelance)

ImageBounding Box

Provided AI model training and safety/LLM instruction tuning work supported by large-scale data annotation workflows. Supervised teams of annotators and established quality control protocols to ensure high labeling accuracy and consistency. Built and operationalized specialized computer vision annotation frameworks for structured training datasets. • Supervised end-to-end annotation pipelines with 95%+ accuracy targets • Defined annotation frameworks for bounding boxes, semantic segmentation, and keypoint detection • Iterated with ML engineers to improve training data strategies and model performance • Produced educational AI/ML content tied to annotation and training dataset quality

2021 - Present

AI/ML Tutor & Educational Consultant (Freelance)

OtherTextQuestion Answering

Delivered AI/ML tutoring and educational consulting to build understanding of model training concepts and applied dataset creation. Designed hands-on Python-based projects focusing on practical NLP and computer vision applications. Mentored junior learners and students with an emphasis on reproducible and rigorous AI development practices. • Educated 50+ students annually via tutoring and group workshops • Designed structured curricula and interactive tutorials • Guided practical NLP and computer vision project work using Python/TensorFlow/PyTorch • Mentored learners on reproducible research methods and development rigor

2020 - Present

Data Annotation Specialist & Project Lead (Freelance)

AudioClassification

Executed large-scale data annotation projects to support AI training pipelines across NLP, computer vision, and audio domains. Managed annotation teams (5–20 contributors), created labeling guidelines, and performed QA reviews to maintain high inter-annotator agreement. Labeled nuanced targets including sentiment, NER, intent classification, and multi-label image categorization while maintaining audit trails. • Led team-based annotation with 96%+ inter-annotator agreement targets • Performed NLP labeling for sentiment analysis, NER, and intent classification • Performed computer vision labeling for multi-label image categorization • Processed 10,000+ samples monthly with documentation and auditability

2019 - Present

Education

Work History