Remote Indonesian LLM Quality Analyst — Personalization

Crossing Hurdles; Indonesia; On-site; Full time

Job description

Position: LLM AI Quality Analyst (Personalization) Indonesian

Type: Contract

Compensation: $11/Hour

Location: Remote

Commitment: Full-time (8 hours/day) | Short-Term Contract (2 months)

Role Responsibilities

• Evaluate and assess AI-generated responses with a focus on personalization quality and user relevance
• Analyze nuanced and ambiguous outputs to ensure alignment with project standards and expectations
• Review, annotate, and provide feedback on AI model behavior and response quality
• Perform quality assurance tasks related to large language model outputs and personalization workflows
• Collaborate with internal teams to improve AI training data and evaluation processes
• Ensure accuracy, consistency, and compliance with project guidelines
• Complete assigned tasks within required timelines and productivity expectations

Requirements

• Indonesian proficiency with the ability to read and write in Indonesian at a high level of comprehension
• Experience in data annotation, AI quality evaluation, content moderation, or a related field is strongly preferred
• Strong analytical thinking and attention to detail
• Ability to evaluate complex and ambiguous AI-generated responses
• BS/BA degree or equivalent experience in a relevant field such as Policy, Law, Ethics, Linguistics, Journalism, Computer Science, or a related analytical discipline
• Willingness to use a primary personal Google account and enable personal data sources for project evaluation purposes
• Full-time availability in the local time zone with a minimum 4-hour overlap with PST time zone
• Ability to follow instructions and work effectively in a fast-paced environment

Preferred Qualifications

• Previous experience working on AI personalization or LLM evaluation projects
• Familiarity with annotation platforms and quality review workflows
• Strong written communication and critical thinking skills
• Experience working in global operations or remote project environments