Tony Ing

Key Skills

Software

Appen

Clickworker

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Task Types

Text Generation

Text Summarization

Tracking

Freelancer Overview

I have strong experience in data labeling and AI training tasks, especially in audio transcription, annotation, and evaluation of Chinese content. My work through platforms such as Outlier and Crowdgen has focused on reviewing, labeling, and segmenting Mandarin recordings, as well as evaluating language model outputs for fluency, coherence, and tone. I consistently maintain high accuracy while working with complex linguistic instructions. My bilingual skills in Chinese and English give me an edge in cross-lingual tasks, especially those requiring cultural nuance or accurate transcription of Mandarin audio. I am familiar with QA-driven workflows, audio segmentation tools, and evaluation standards for natural language tasks. My ability to follow detailed guidelines and deliver consistent, high-quality annotations makes me a valuable contributor in both linguistic and AI training projects.

Labeling Experience

xylophone / Cypher / Stratus

Scale AIAudioRLHFData Collection

Project Description: This project involves audio data labeling and annotation for AI training, including: - RLHF: Optimizing datasets for human-aligned AI responses. - Prompt + Response Writing: Creating training data for conversational models. - Audio Annotation: Transcribing and tagging speech/environmental sounds. Tools: Scale AI Applications: Voice assistants, autonomous vehicles, healthcare diagnostics. Goal: Deliver high-quality, domain-specific labeled data for AI development.

Project Description: This project involves audio data labeling and annotation for AI training, including: - RLHF: Optimizing datasets for human-aligned AI responses. - Prompt + Response Writing: Creating training data for conversational models. - Audio Annotation: Transcribing and tagging speech/environmental sounds. Tools: Scale AI Applications: Voice assistants, autonomous vehicles, healthcare diagnostics. Goal: Deliver high-quality, domain-specific labeled data for AI development.

2024

Education

Work History