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Crossing Hurdles • United States
Role & seniority
LLM – AI Quality Analyst (Personalization) – Korean
Short-term contract (2 months); part-time availability
Stack/tools
Experience in data annotation, AI quality evaluation, content moderation
Creative prompt engineering and personalization concepts
Proficiency in Korean (reading/writing)
Willingness to use a personal Google account and enable personal data sources
Independent remote work; stable desktop/laptop and internet
Top 3 responsibilities
Evaluate a Gemini personalization feature; design and execute multi-turn prompts requiring use of personal information/experiences
Assess model use of past conversations/activity for relevant, helpful responses; evaluate grounding and reduce hallucinations
Side-by-side evaluations and stack-rank responses; write clear rationales referencing specific turns; extract/verify debug information; maintain data hygiene by deleting evaluation conversations
Must-have skills
Strong Korean proficiency (reading/writing)
Analytical thinking and attention to detail
Structured feedback and clear written explanations
Ability to work independently in a remote environment
Nice-to-haves
Experience with data annotation, AI quality evaluation, or content moderation
Experience with prompt engineering and personalization concepts
Location & work type
Remote (Global)
Part-time commitment; short-term contract (2 months)
Compensation: $11 per hour
Position: LLM – AI Quality Analyst (Personalization) – Korean
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 Korean 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 (Takes 20 Mins)
Fill out the application form Complete the ICF Complete the assessment