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🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
Crossing Hurdles • United States
Role & seniority: LLM – AI Quality Analyst (Personalization) – Chinese; short-term contract, likely mid-level qualification in QA/annotation
Stack/tools: data annotation; AI quality evaluation; content moderation; creative prompt engineering; personalization concepts; evaluation with personal Google account and data sources; structured feedback and rationales; data hygiene (delete evaluation conversations)
Evaluate a personalization feature for Gemini; design and execute multi-turn prompts using personal information
Assess use of past conversations/activity to generate relevant responses; evaluate grounding and for hallucinations or flawed inferences
Perform side-by-side evaluations, rank model responses by helpfulness/naturalness; write rationales referencing specific turns; verify debug data sources
Strong Chinese reading/writing; strong analytical thinking and attention to detail
Experience in data annotation, AI quality evaluation, content moderation or related roles
Experience with creative prompt engineering and personalization concepts
Ability to provide structured, clear written feedback; work independently in a remote environment; stable internet on desktop/laptop
Willingness to use a primary personal Google account and enable personal data sources for assessment
Prior experience evaluating AI personalization features; familiarity with data hygiene best practices
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