Sean A.

Key Skills

Software

Scale AI

Internal/Proprietary Tooling

Labelbox

Top Subject Matter

Generalist AI Training – Prompt Engineering & LLM Alignment

Multimodal Data Evaluation – Audio Transcription & Video QA

Content Quality Assurance – Fact-Checking, Logic & Safety Review

Top Data Types

Image

Text

Audio

Top Task Types

Prompt + Response Writing (SFT)

Evaluation/Rating

Transcription

Data Collection

Text Summarization

Question Answering

Bounding Box

Segmentation

Object Detection

Freelancer Overview

Over the past 6 months as an AI Trainer at Handshake AI, I have developed a strong foundation in high-quality data annotation and dataset curation for machine learning models. My day-to-day responsibilities involved executing complex data labeling tasks, categorizing diverse datasets, and reviewing AI-generated content to ensure precision and adherence to strict project taxonomies. I am highly skilled at cross-referencing information for factual accuracy and maintaining an efficient workflow without sacrificing data integrity. Working in a fast-paced environment at Handshake AI has allowed me to master various annotation methodologies and guidelines. I pride myself on my exceptional attention to detail, strong problem-solving abilities, and a proven track record of delivering clean, reliable training data that directly improves model performance.

Labeling Experience

AI Trainer - Handshake AI Project Hedgehog Evals

AudioTranscription

Served as a specialized AI Data Annotator for Project Hedgehog Evals, executing complex audio transcription, alignment, and evaluation tasks. Beyond audio and text processing, the role consistently involved high-turn multimodal evaluations across video and image datasets. Responsible for reviewing AI-generated outputs to ensure precise perception alignment, accurate video shot boundaries, and strict adherence to technical quality metrics, directly contributing to the optimization of next-generation multimodal LLMs.

2026 - Present

AI Trainer - Project Hedgehog

ImageEvaluation/Rating

Served as a specialized AI Data Annotator for Project Hedgehog, focusing on multimodal model alignment across both video and image datasets. Responsible for reviewing complex AI-generated visual outputs to ensure precise perception alignment, accurate video shot boundaries, and strict adherence to technical quality guidelines. Evaluated model responsiveness and fine-tuned generation quality through comparative rating matrices, directly contributing to the optimization of next-generation computer vision and multimodal LLMs.

2026 - Present

Education

Work History