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Crossing Hurdles • Singapore
Role & seniority: LLM – AI Quality Analyst (Personalization); short-term contract, likely individual contributor
Stack/tools: AI quality evaluation; multi-turn prompt design; personalization concepts; use of personal Google account and data sources; side-by-side model evaluation; requires access to summaries/data sources and ability to extract debug information
Evaluate a personalization feature for Gemini and assess use of past conversations and activity
Design and execute multi-turn prompts and provide clear rationales with references to specific turns
Analyze responses for grounding, inferences/hallucinations, data integration quality, and rank model responses by helpfulness/naturalness
Strong Chinese reading/writing proficiency
Experience in data annotation, AI quality evaluation, content moderation, or related roles
Strong analytical thinking, attention to detail, structured feedback, and independent remote work capability
Experience with creative prompt engineering and personalization concepts
Ability to use a primary Google account and enable personal data sources for assessment
Prior experience with personalization concepts and debugging data-source usage
Familiarity with data hygiene practices (e.g., deleting evaluation conversations after completion)
Location & work type: Remote (Global); Short-Term Contract (2 months); Part-time availability required
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