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Crossing Hurdles • China
Role & seniority: LLM – AI Quality Analyst (Personalization) – Chinese; short-term contract (2 months); part-time (30–40 hrs/wk)
Stack/tools: data annotation/AI quality evaluation; content moderation; strong Chinese reading/writing; prompt engineering; ability to use a personal Google account and enable personal data sources
Evaluate personalization feature and how the model uses past conversations and activity to respond
Design and execute multi-turn prompts that incorporate user personal information and experiences
Assess response quality (intent, personalization accuracy, grounding; detect inferences/hallucinations) and perform side-by-side evaluations with rationales; ensure data hygiene
Strong Chinese proficiency (reading & writing)
Experience in data annotation, AI quality evaluation, or content moderation
Analytical thinking and attention to detail
Experience with creative prompt engineering and personalization concepts
Ability to provide structured, clear written feedback; work independently in a remote setting
Familiarity with personalization concepts beyond basics
Comfort with using personal Google account for data sources
Location & work type: Remote (Global); Short-Term Contract (2 months); Part-time commitment (30–40 hrs/week); Compensation: $11/hour
Position: LLM – AI Quality Analyst (Personalization) – Chinese
Type: Short-Term Contract (2 months)
Compensation: $11 per hour
Location: Remote (Global)
Commitment: Part-time availability required (30–40 hrs/week)
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 Chinese 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