Position: LLM AI Quality Analyst (Personalization) IndonesianType: ContractCompensation: $11/HourLocation: RemoteCommitment: Full-time (8 hours/day) | Short-Term Contract (2 months)Role ResponsibilitiesEvaluate and assess AI-generated responses with a focus on personalization quality and user relevanceAnalyze nuanced and ambiguous outputs to ensure alignment with project standards and expectationsReview, annotate, and provide feedback on AI model behavior and response qualityPerform quality assurance tasks related to large language model outputs and personalization workflowsCollaborate with internal teams to improve AI training data and evaluation processesEnsure accuracy, consistency, and compliance with project guidelinesComplete assigned tasks within required timelines and productivity expectations RequirementsIndonesian proficiency with the ability to read and write in Indonesian at a high level of comprehensionExperience in data annotation, AI quality evaluation, content moderation, or a related field is strongly preferredStrong analytical thinking and attention to detailAbility to evaluate complex and ambiguous AI-generated responsesBS/BA degree or equivalent experience in a relevant field such as Policy, Law, Ethics, Linguistics, Journalism, Computer Science, or a related analytical disciplineWillingness to use a primary personal Google account and enable personal data sources for project evaluation purposesFull-time availability in the local time zone with a minimum 4-hour overlap with PST time zoneAbility to follow instructions and work effectively in a fast-paced environment Preferred QualificationsPrevious experience working on AI personalization or LLM evaluation projectsFamiliarity with annotation platforms and quality review workflowsStrong written communication and critical thinking skillsExperience working in global operations or remote project environments Application ProcessApply via Apply/Easy Apply and complete the Interest Check Form (ICF) and required assessmentShortlisted candidates will undergo an evaluation processSelected candidates will be contacted by the team regarding next steps