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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 • Singapore
Role & seniority: LLM – AI Quality Analyst (Personalization), Short-Term Contract (entry–mid level perspective in QA/annotation)
Stack/tools: Data annotation, AI quality evaluation, content moderation; creative prompt engineering; multi-turn conversation design; side-by-side evaluation (SxS); requires access to personal Google data sources
Design multi-turn prompts (1–5 turns) using personal context and assess personalization
Evaluate grounding, integration, usefulness of personalized AI responses; identify errors in data usage and flawed inferences/hallucinations
Conduct SxS comparisons, write structured rationales tied to specific turns, verify “Debug Info” data sources, ensure data hygiene by deleting evaluations
Thai reading/writing proficiency
Experience in data annotation, AI quality evaluation, content moderation, or related roles
Strong analytical skills for nuanced AI outputs; attention to detail for SxS
Experience with creative prompt engineering and multi-turn conversations
Excellent written communication and feedback documentation
BS/BA or equivalent in a relevant field; independent remote work capability
Ability to use a primary personal Google account with enabled personal data sources
Familiarity with personalization concepts in AI; ability to extract/verify debug information
Self-motivation and reliable internet/desktop setup
Location & work typ
Position: LLM – AI Quality Analyst (Personalization) – Thai
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
Thai 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