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🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
Crossing Hurdles • Indonesia
Role & seniority: LLM – AI Quality Analyst (Personalization), Short-Term Contract (mid-level to senior-level QA/annotation focus)
Location & work type: Remote; 30–40 hours/week; 4-hour overlap with PST; Engagement 2 months; Immediate start
Stack/tools: Data annotation and AI quality evaluation; content moderation; multi-turn prompt Engineering; side-by-side (SxS) evaluation; requires using a primary personal Google account with enabled personal data sources
Design multi-turn prompts (1–5 turns) using personal context
Evaluate personalized AI responses for grounding, integration, and helpfulness; identify errors, hallucinations, and flawed inferences
Conduct SxS comparisons, document rationales, extract/verify Debug Info, and ensure data hygiene by deleting evaluation conversations
Indonesian reading/writing proficiency
Strong data annotation/AI quality evaluation or content moderation experience
Excellent written communication and feedback documentation
Strong analytic skills for nuanced AI outputs; attention to detail in SxS comparisons
Experience with creative prompt engineering and multi-turn conversations
Understanding of personalization concepts and data-source usage
BS/BA or equivalent experience
Prior remote-only work experience; self-motivation and independence
Experience with data privacy and secure data handling
Familiarity with debugging data pro
Position: LLM – AI Quality Analyst (Personalization) – Indonesian
Type: Short-Term Contract
Location: Remote
Commitment: 30–40 hours/week, 4-hour overlap with PST
Engagement Length: 2 months
Start Date: Immediate
Role Responsibilities Design multi-turn conversational prompts (1–5 turns) using personal context Evaluate personalized AI responses for grounding, integration, and helpfulness Assess correct usage of personal data and identify flawed inferences or hallucinations Review integration quality to ensure personalization feels natural and not over-narrated Conduct side-by-side (SxS) evaluation and ranking of model responses Identify personalization errors, reasoning gaps, and grounding issues Write clear, structured rationales referencing specific conversation turns Extract and verify “Debug Info” to confirm correct data source utilization Maintain strict data hygiene by deleting evaluation conversations
Requirements Indonesian proficiency (reading and writing) Strong experience in data annotation, AI quality evaluation, content moderation, or related roles Strong analytical skills for evaluating nuanced and ambiguous AI outputs Experience with creative prompt engineering and multi-turn conversations Understanding of personalization concepts and AI response evaluation High attention to detail for SxS comparisons Excellent written communication and feedback documentation skills BS/BA degree or equivalent experience in a relevant field Willingness to use a primary personal Google account with enabled personal data sources Self-motivated and able to work independently in a remote setup Desktop/laptop with reliable internet connection
Application Process Fill out the application form Complete the ICF Complete the assessment