Shinjie Huang

Key Skills

Software

Appen

Clickworker

OneForma

Remotasks

Scale AI

SuperAnnotate

Toloka

Telus

Top Subject Matter

Speech Recognition AI

Image Generation AI

Language Localization AI

Top Data Types

Audio

Image

Text

Top Task Types

Audio Recording

Data Collection

Evaluation Rating

Prompt Response Writing SFT

Translation Localization

Transcription

Freelancer Overview

Audio Transcription Data Annotator (Jigglypuff Project). Core strengths include Appen, uLabel, and OneForma. AI-training focus includes data types such as Audio, Image, and Text and labeling workflows including Transcription, Prompt + Response Writing (SFT), and Translation.

Labeling Experience

Baldcypress

AppenTextEvaluation RatingTranscription

The purpose of this independent task is to evaluate the quality of AI-generated responses according to specific quality standards. The responses address the given question or prompt (both presented in the target language) and are assessed based on standardized quality evaluation criteria, which include ten distinct quality labels, including Safety,Accuracy,Language Alignment, Instruction Following, Relevance, Refusal, Comprehensiveness, Grammar&Fluency,Tone,Formating.

The purpose of this independent task is to evaluate the quality of AI-generated responses according to specific quality standards. The responses address the given question or prompt (both presented in the target language) and are assessed based on standardized quality evaluation criteria, which include ten distinct quality labels, including Safety,Accuracy,Language Alignment, Instruction Following, Relevance, Refusal, Comprehensiveness, Grammar&Fluency,Tone,Formating.

2025 - 2025

Cherry Opal

OneformaTextEvaluation Rating

The aim of this project is to develop a robust evaluation framework for assessing responses generated by a digital assistant across various dimensions such as accuracy, localization, relevance, language appropriateness, and adherence to user instructions.

The aim of this project is to develop a robust evaluation framework for assessing responses generated by a digital assistant across various dimensions such as accuracy, localization, relevance, language appropriateness, and adherence to user instructions.

2025 - 2025

Image Prompt & Evaluation Annotator (MSPO-1241 Project)

ImagePrompt Response Writing SFT

Participated in MSPO-1241 Project (Volga/uLabel), focusing on prompt creation and output evaluation for image-to-text and text-to-image AI tasks. Authored and evaluated short-, medium-, and long-form prompts based on input images, then assessed generated images for alignment, visual quality, and relevance. Completed comprehensive evaluation cycles for a wide range of prompts and image outputs. • Created and validated prompts for image generation tasks. • Rated AI-generated images in batch evaluations. • Ensured guideline compliance and edge-case handling in annotation. • Utilized uLabel for project workflow and deliverables.

Participated in MSPO-1241 Project (Volga/uLabel), focusing on prompt creation and output evaluation for image-to-text and text-to-image AI tasks. Authored and evaluated short-, medium-, and long-form prompts based on input images, then assessed generated images for alignment, visual quality, and relevance. Completed comprehensive evaluation cycles for a wide range of prompts and image outputs. • Created and validated prompts for image generation tasks. • Rated AI-generated images in batch evaluations. • Ensured guideline compliance and edge-case handling in annotation. • Utilized uLabel for project workflow and deliverables.

2025 - 2025

Education

Work History