Aaeon H.

Key Skills

Software

Other

AWS SageMaker

Top Subject Matter

Artificial Intelligence / Large Language Models (LLMs)

Machine Learning Training Data / LLM Prompting & Evaluation

Operational/QA management supporting technology development

Top Data Types

Text

Document

Computer Code Programming

Top Task Types

Question Answering

Transcription

RLHF

Computer Programming/Coding

Prompt + Response Writing (SFT)

Freelancer Overview

Freelance AI Data Annotation Specialist — Outlier AI (Austin, TX). Brings 2+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other, N, and A. Education includes Bachelor of Science, University of Texas at Austin (2019). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Question Answering.

Labeling Experience

Freelance AI Data Annotation Specialist — Outlier AI (Austin, TX)

OtherText

Freelance AI Data Annotation Specialist at Outlier AI, contributing to AI model training through high-quality data annotation and prompt engineering. He evaluates and ranks AI model outputs using detailed rubrics to ensure responses are accurate, coherent, safe, and aligned with human values. He also performs calibration and quality assurance reviews to maintain consistency across large annotation projects. • Annotate and evaluate outputs across NLP, code-related tasks, multimodal AI, and reasoning systems • Provide structured feedback on failure modes and performance against rubric criteria • Conduct quality assurance and inter-annotator calibration to reduce disagreement • Collaborate to refine annotation guidelines and optimize data processing workflows

2019 - Present

Freelance Data Annotator — DataAnnotation (Austin, TX)

OtherTextQuestion Answering

Freelance Data Annotator at DataAnnotation, performing machine learning training data labeling across multiple domains. He started with foundational labeling tasks (categorization, tagging, and factual verification) and progressed to more complex assignments including sentiment analysis and named entity recognition. He also contributes prompt creation and response evaluation for large language models with detailed written feedback to help developers improve system behavior. • Label and tag training data for sentiment analysis, NER, QA, and conversational AI • Design prompts that probe specific LLM capabilities and expected behaviors • Verify AI-generated responses for factual accuracy, logical consistency, and grammar • Manage multiple concurrent projects and help refine annotation guidelines and quality standards

2017 - Present

Management Role — Intuitive (California)

Text

In a management role at Intuitive, he coordinated operational execution for cross-functional teams in a high-stakes technology environment. While this role is not described as hands-on data labeling, it supported AI-adjacent technology work via process coordination, quality standards, and mentoring. His responsibilities included ensuring deliverables met exacting standards and improving operational efficiency through implemented process changes. • Coordinated project timelines and managed team resources toward deliverable quality • Implemented process improvements to enhance operational efficiency • Mentored and developed junior team members to maintain high-performance execution • Bridged technical and non-technical stakeholders to drive alignment and resolve challenges

2017 - 2018

Education

Work History