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Hmy

Hmy

Computer Science Student | Data Annotation & Bilingual Content Review

Australia flagBrisbane, Australia

Key Skills

Software

Internal/Proprietary Tooling

Top Subject Matter

General AI / LLM Evaluation
Chinese-English Content Review
Data Annotation & Research

Top Data Types

AudioAudio

Top Task Types

Point/Key PointPoint/Key Point
Evaluation/RatingEvaluation/Rating

Freelancer Overview

Scene training support for noise-canceling headphones. With over 1 year of professional experience, covering complex professional workflows, research, and quality-oriented execution phases. The educational content includes a Bachelor of Science degree, provided by the University of Queensland. The focus of the artificial intelligence training covers data types such as text, as well as annotation processes including assessment and rating.

Labeling Experience

Remote Part-Time Data Annotation and AI Response Checking

TextText

Supported AI and data annotation tasks as part of remote part-time work activities. Engaged in reviewing Chinese-English content, checking AI-generated responses, and labeling data within spreadsheets according to instructions. Followed detailed guidelines and leveraged technical knowledge from a computer science background. • Conducted text data annotation and response checking. • Utilized spreadsheet tools for labeling and organizing data. • Reviewed and verified AI-generated responses for quality and accuracy. • Worked with multilingual (Mandarin and English) content as required.

Present

Scenario Training Support for Noise-Cancelling Headphones

TextText

Supported scenario-based data preparation for AI models in the context of noise-cancelling headphone use cases. Tasks included breaking down complex scenarios into user contexts, annotating expected device behavior, and identifying relevant edge cases for AI training. Ensured clarity and accuracy of scenario outlines to train and evaluate AI system responses. • Contributed to the development and review of training scenarios. • Focused on user context, behavior annotation, and detailed edge case documentation. • Assistance likely involved spreadsheet-based and document-based labeling tools. • Work emphasized clear and accurate labeling for AI improvements.

Not specified

Education

T

The University of Queensland

Bachelor of Science, Computer Science

Bachelor of Science
2025 - 2026

Work History

I

Independent Developer

Software Developer

Brisbane
2026 - 2026
I

Independent Developer

Chrome Extension Developer

Brisbane
2026 - 2026