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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/week)
Stack/tools: data annotation; AI quality evaluation; content moderation; creative prompt engineering and personalization concepts; use of a primary Google account and personal data sources; ability to extract/verify debug information; remote work setup
Evaluate a Gemini personalization feature; design and execute multi-turn prompts using personal information/experiences
Assess model use of past conversations/activity, grounding, and personalization quality; perform side-by-side evaluations and rank responses
Write clear rationales tied to specific turns; ensure data hygiene by deleting evaluation conversations after completion
Strong Chinese reading/writing proficiency
Experience in data annotation, AI quality evaluation, content moderation, or related roles
Analytical thinking with strong attention to detail
Experience with creative prompt engineering and personalization concepts
Ability to provide structured feedback and independent remote work
Familiarity with using Google accounts and personal data sources for assessment
Prior experience extracting/validating debug information (summaries/data sources)
Experience working with evaluation frameworks or stack ranking
Familiarity with privacy and data hygiene practices
Location &
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 Desktop or laptop with a stable internet connection
Application Process
Fill out the application form Complete the ICF Complete the assessment