Overview

Project Overview: We are sourcing independent Language Alignment & Resource Partners (LARPs) to provide native-level Taiwanese language vetting and QA for a specialized AI data project. As AI systems strive to reflect real-world usage and deliver human-like communication, their accuracy depends entirely on rigorous linguistic and cultural consultation. The objective of this project is to evaluate, annotate, and validate data to ensure high-quality outputs that are fully natural, polished, and free from bias.

Project Deliverables & Scope

Operate autonomously to provide linguistic QA and develop alignment resources. Expected deliverables include:

• Data Annotation & Review: Reviewing, annotating, and testing AI outputs for grammatical accuracy, naturalness, and strict cultural context.
• Quality Assurance & Vetting: Acting as a primary quality check during production to proactively identify and correct subtle cultural errors or awk...