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Crossing Hurdles • Brussels, Brussels-Capital, Belgium
Role & seniority: LLM – AI Quality Analyst (Personalization) – Chinese; Short-Term Contract (2 months); Part-time availability
Stack/tools: Remote work; data annotation/AI quality evaluation; prompt engineering; willingness to use personal Google account and enable personal data sources; requires stable internet on desktop/laptop
Evaluate a personalization feature for Gemini and assess how past conversations/activity are used to generate relevant responses
Design and execute multi-turn prompts; perform side-by-side evaluations and rank model responses by helpfulness and naturalness
Write clear rationales referencing specific turns; extract/verify debug info; 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
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; stable internet
Experience with debugging, data source verification, or grounding assessment
Familiarity with AI model evaluation frameworks or similar QA processes
Location & work type: Remote (Global); Part-time, short-term contract (2 months)
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