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Crossing Hurdles • United States
Role & seniority: LLM – AI Quality Analyst (Personalization) – Korean; short-term contract (2 months)
Stack/tools: Data annotation / AI quality evaluation / content moderation; creative prompt engineering; requires using a personal Google account and access to personal data sources for assessment
Evaluate a personalization feature for Gemini; design and execute multi-turn prompts leveraging personal information and experiences
Assess how past conversations/activity influence responses; evaluate intent, personalization quality, grounding, and integration of personal data
Conduct side-by-side evaluations, rank model responses by helpfulness/naturalness, and write clear rationales with references to specific turns; extract/verify debug information; 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
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
Willingness to use a primary Google account and enable personal data sources for assessment
Prior remote/full-time or freelance QA experience
Familiarity with data privacy practices and data
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