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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 • Canada
Role & seniority
LLM – AI Quality Analyst (Personalization), Chinese
Short-Term Contract (2 months), part-time (30–40 hrs/week), remote/global
Stack/tools
Data annotation / AI quality evaluation workflows
Creative prompt engineering and personalization concepts
Google account usage for assessment (primary personal account)
Written rationales and debugging data (no specialized tool required)
Top 3 responsibilities
Evaluate Gemini personalization feature and multi-turn prompts leveraging user info and past conversations
Assess grounding, intent alignment, and natural use of personal data; identify hallucinations or flawed inferences
Side-by-side ranking of model responses; generate clear rationales with references to specific turns; ensure data hygiene (delete evaluation conversations)
Must-have skills
Strong Chinese reading/writing proficiency
Experience in data annotation, AI quality evaluation, or content moderation
Analytical thinking, attention to detail; structured feedback with clear explanations
Independent, remote work capability; able to work with personal data sources and summarize/debug information
Nice-to-haves
Experience with prompt engineering and personalization concepts
Ability to extract/verify debug info (summaries, data sources)
Location & work type
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
Application Process Fill out the application form Complete the ICF Complete the assessment