
Quality Specialist (Korean) | $11/hr Remote
Department:HR
Type:REMOTE
Region:Australia
Location:Australia
Experience:Associate
Salary:$22,880 - $22,880
Skills:
DATA ANNOTATIONAI QUALITY EVALUATIONCONTENT MODERATIONKOREAN PROFICIENCYPROMPT ENGINEERINGPERSONALIZATION CONCEPTSANALYTICAL THINKINGSTRUCTURED FEEDBACK
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Job Description
Posted on: February 26, 2026
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
Application Process
- Fill out the application form
- Complete the ICF
- Complete the assessment
Originally posted on LinkedIn
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