Quality Assurance Lead (Malay)

The work

You will review Malay AI-generated content and trainer or QA submissions against project guidelines and detailed rubrics. Your reviews will help improve accuracy, consistency, clarity, and adherence to Malay language standards.

You will also monitor training workflows, communicate quality expectations, support onboarding, and help maintain the materials contributors use to complete their work.

• Review Malay content for accuracy, fluency, grammar, spelling, punctuation, tone, meaning preservation, formatting, and instruction-following.
• Provide precise written feedback and escalate recurring or critical quality issues.
• Communicate project updates, workflow changes, and quality expectations to trainers and QAs.
• Support onboarding and maintain style guides, FAQs, trackers, examples, honeypots, and quality notes.
• Help improve scalable quality assurance processes for Malay-language AI training.
• Evaluate language variation and code-switching when required.

What it pays and takes

This is remote contractor work for someone with strong Malay language judgment and experience reviewing or improving written content. The role is suited to an intermediate-level contributor who can apply detailed standards consistently.

• Pay: $25 per hour.
• Schedule: 20+ hours per week.
• Location: Open to candidates in Malaysia.
• Language: Fluent Malay with strong reading and writing skills, plus strong English communication skills.
• Experience: Background in Malay writing, editing, translation, localization, content QA, AI training, or related language-review work.
• Knowledge: Strong understanding of Malay grammar, spelling conventions, punctuation, tone, register, formal and informal usage, and cultural context.
• Preferred: Experience supporting remote reviewers, editors, or QAs.

How it works

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

About AI training work

AI training work is the human side of building artificial intelligence, including reviewing model responses, rating content, and preparing examples that help systems improve. Language quality leads bring specialist judgment to this process by checking accuracy, clarity, tone, and cultural fit.

OpenTrain helps people find AI training and data-labeling projects, build a profile, and apply in minutes.