Malay Quality Assurance Lead (QAL)

Pay: up to $25/hour In this hourly, remote contractor role, you will work as a Malay Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across Malay AI training projects. You will review AI-generated Malay content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for accuracy, fluency, grammar, spelling, tone, cultural appropriateness, meaning preservation, instruction-following, formatting, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong Malay and English skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote teams. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your Malay quality leadership will directly help improve the world’s premier AI models by ensuring that Malay training data is natural, accurate, culturally appropriate, well-documented, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network. Responsibilities Quality monitoring: Spot-check Malay items, identify quality issues, provide ongoing feedback through DMs, and **escalate** recurring or critical issues. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, and quality expectations. Question handling: Respond to trainer/QA questions clearly and promptly, especially around Malay wording, tone, register, translation fidelity, cultural context, terminology, code-switching, and regional usage. Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. Documentation: Create and maintain Malay project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, and onboarding materials. Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and Malay-specific style requirements. Quality alignment: Ensure all trainers and QAs apply Malay language guidelines consistently and understand updates as projects evolve. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for Malay-language projects. Requirements Bachelor’s or Master’s degree in Malay, Bahasa Melayu, Linguistics, Translation, Communications, Journalism, English, Education, Quality Assurance, or a relevant domain/related field. Native or near-native Malay proficiency with strong reading and writing skills. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear feedback in English. 3+ years of professional experience in Malay writing, editing, translation, localization, content QA, AI training, education, annotation, or related language-review workflows. Strong understanding of Malay grammar, spelling conventions, punctuation, tone, register, formal/informal usage, and cultural context. Comfortable handling Malaysian Malay, Brunei Malay, Singapore Malay, formal Bahasa Melayu, conversational usage, and English loanword/code-switching when required, while keeping style consistent with project guidelines. Ability to evaluate Malay content against detailed rubrics and identify issues such as mistranslation, literal phrasing, unnatural tone, incorrect register, hallucinated claims, ambiguity, or inconsistent terminology. Experience leading or supporting remote teams of trainers, annotators, reviewers, editors, or QAs is strongly preferred. Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, and other quality documentation. Experience with AI training, data annotation, large language models, prompt/response evaluation, or rubric-based LLM QA is a strong plus. Skills: Trainer Feedback, Style Guides, Bahasa Melayu, English, Malay, LLM evaluation, AI Training, Malay Quality Assurance, Translation Quality Review, Localization QA Open to candidates in: Malaysia Interview language: English #J-18808-Ljbffr AI Trainer Jobs