Quality Assurance Lead (Chinese)

The work

As a Cantonese Quality Assurance Lead, you will review AI-generated Traditional Chinese content for the Hong Kong market. You will assess trainer and QA submissions against detailed rubrics and give clear written feedback.

You will also track recurring quality issues, communicate updates to remote contributors, support onboarding, and maintain documentation as projects change.

• Review Traditional Chinese Hong Kong and Cantonese-influenced content for quality, consistency, and rubric adherence.
• Check wording, terminology, tone, grammar, punctuation, cultural fit, meaning preservation, and formatting.
• Evaluate trainer and QA work and provide precise written feedback.
• Identify recurring issues and communicate quality expectations to trainers and QAs.
• Maintain style guides, FAQs, trackers, examples, honeypots, and onboarding materials.
• Support onboarding sessions and improve scalable quality assurance workflows.

What it pays and takes

This is remote, part-time contractor work for an experienced language quality professional supporting Hong Kong projects.

• Pay: Up to $40 per hour.
• Time: 20 or more hours per week.
• Location: Open to candidates in Hong Kong.
• Languages: Fluent Traditional Chinese for Hong Kong, strong Cantonese understanding, and strong English communication skills.
• Experience: Traditional Chinese writing, translation, localization, content QA, AI training, or related review workflows.
• Team experience: Supporting remote trainers, reviewers, editors, annotators, or quality assurance contributors.
• Skills: Excellent attention to detail, organization, and structured communication.
• Level: Expert.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training is the human work behind systems that generate and understand text. People review examples, rate model outputs, and improve language quality so AI responds more accurately and appropriately. OpenTrain helps people find this kind of work, build a profile, and start applications in one place.