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Crossing Hurdles • Australia
Role & seniority: LLM – AI Quality Analyst (Personalization), Korean; short-term contract (2 months), part-time availability.
Stack/tools: Data annotation/AI quality evaluation; content moderation; Google account usage for assessment; personal data sources; creative prompt engineering and evaluation prompts.
Evaluate a Gemini personalization feature; design/execute multi-turn prompts using personal info and experiences.
Assess how well the model uses past conversations/activity to generate relevant, helpful responses; analyze grounding and potential hallucinations.
Conduct side-by-side evaluations, rank responses by helpfulness/naturalness, document rationales with references to specific turns; verify debug info and data/source usage; ensure data hygiene by deleting evaluation conversations.
Strong Korean reading/writing proficiency.
Experience in data annotation, AI quality evaluation, content moderation, or related roles.
Strong analytical thinking, attention to detail, and structured feedback/clear written explanations.
Experience with creative prompt engineering and personalization concepts.
Ability to work independently in a remote environment; comfortable using primary personal Google account for assessment.
Familiarity with personalization concepts, data privacy considerations, and evaluation tooling.
Ability to extract and verify debug information; comfort handli
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
Application Process Fill out the application form Complete the ICF Complete the assessment