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Crossing Hurdles • Australia
Role & seniority
LLM – AI Quality Analyst (Personalization) – Korean
Seniority: not specified
Type: Short-Term Contract (2 months), part-time availability
Stack/tools
Data annotation / AI quality evaluation domain
Prompt design and evaluation under personalization
Google account usage for assessment and data sources
Remote work setup with stable internet
Top 3 responsibilities
Evaluate a personalization feature for Gemini and how well personal data is used in responses
Design and run multi-turn prompts; assess grounding, intent, and personalization quality
Write structured rationales with references to specific turns; perform side-by-side evaluations and rank models; verify debug info and data source usage; maintain data hygiene by deleting evaluation conversations
Must-have skills
Strong Korean proficiency (reading/writing)
Experience in data annotation, AI quality evaluation, content moderation, or related roles
Analytical thinking, attention to detail
Experience with creative prompt engineering and personalization concepts
Ability to provide structured feedback and clear written explanations
Ability to work independently in a remote environment; reliable internet
Nice-to-haves
Previous experience with AI model evaluation workflows or similar governance tasks (not explicitly required)
Familiarity with evaluating model grounding and hallucinations
Location & work type
Position: LLM – AI Quality Analyst (Personalization) – Korean
Type: Short-Term Contract (2 months)
Compensation: $11 per hour
Location: Remote (Global)
Commitment: Part-time availability required
Role Responsibilities
Evaluate a personalization feature for Gemini Design and execute multi-turn conversational prompts that require the AI to utilize personal information and experiences Assess how effectively the model uses past conversations and activity to generate relevant and helpful responses Evaluate model responses based on intent and appropriate personalization Analyze responses for grounding issues, including flawed inferences or hallucinations Assess integration quality to ensure personal data is incorporated naturally into responses Perform side-by-side evaluations and stack-rank model responses based on helpfulness and naturalness Write clear rationales referencing specific conversation turns Extract and verify debug information to confirm correct use of summaries and data sources Maintain data hygiene by deleting evaluation conversations after completion
Requirements
Experience in data annotation, AI quality evaluation, content moderation, or related roles Strong Korean proficiency (reading and writing) Willingness to use a primary personal Google account and enable personal data sources for assessment Strong analytical thinking and attention to detail Experience with creative prompt engineering and personalization concepts Ability to provide structured feedback and clear written explanations Ability to work independently in a remote environment Desktop or laptop with a stable internet connection
Application Process (Takes 20 Mins)
Fill out the application form Complete the ICF Complete the assessment