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Crossing Hurdles • Malaysia
Role & seniority: LLM – AI Quality Analyst (Personalization) – Chinese; Short-Term Contract (2 months); part-time
Stack/tools: Data annotation/AI quality evaluation; content moderation; Google account usage for assessment; remote work tools (stable internet)
Evaluate a personalization feature for Gemini; design and execute multi-turn prompts leveraging personal info and past conversations
Assess grounding, intent alignment, and how well personal data is integrated into responses; perform side-by-side evaluations and rank models
Write clear rationales referencing conversation turns; extract/verify debug info; maintain data hygiene by deleting evaluation conversations
Experience in data annotation, AI quality evaluation, or content moderation
Strong Chinese reading/writing proficiency
Willingness to use a primary Google account and enable personal data sources
Strong analytical thinking, attention to detail, and structured feedback capability
Experience with creative prompt engineering and personalization concepts
Ability to work independently in a remote environment; reliable internet
Prior experience with conversational AI personalization
Familiarity with model evaluation metrics and data provenance
Location & work type: Remote (Global); Part-time commitment; duration 2 months
Compensation: $11 per hour (short-term)
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
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