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Crossing Hurdles • China
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; creative prompt engineering and personalization concepts; must use a primary Google account and enable personal data sources for assessment.
Evaluate a Gemini personalization feature and assess use of past conversations and activity for relevant, helpful responses.
Design/execute multi-turn prompts leveraging personal information; perform side-by-side evaluations and stack-rank responses for helpfulness and naturalness; write clear rationales referencing specific turns.
Verify grounding, address flawed inferences/hallucinations, ensure correct use of summaries/data sources, and delete evaluation conversations to maintain data hygiene.
Strong Korean reading/writing proficiency
Experience in data annotation, AI quality evaluation, or content moderation
Strong analytical thinking and attention to detail
Structured feedback with clear written explanations
Ability to work independently in a remote environment
Experience with creative prompt engineering and personalization concepts
Familiarity with data privacy/handling personal data
Experience assessing model grounding and hallucination issues
Prior remote, contract, or freelance evaluation roles
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 (Takes 20 Mins) Fill out the application form Complete the ICF Complete the assessment