MSR Project - Chinese Culture Expert

WelocalizeAustraliaOn-siteFull-timeSenior, 5–8 yearsListed 4 days ago

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About this role

Overview 
Are you passionate about languages, writing, and quality evaluation? We are launching an exciting language evaluation project and are looking for Chinese-speaking experts to join our team. 
 
What you will do:  
Identify realistic search-related failures where an AI model provides inadequate responses. Create search queries, test them, document what went wrong, and write instructions and evaluation criteria for correct answers.
Common issues: local relevance, source quality, outdated information, language mismatches, incomplete answers, and region-specific inapplicability. Testing multiple queries before finding failures is expected.
 
Project Details: 
    - Start Date: ASAP
    - Duration: Ongoing Project.
    - Commitment: 20 hours per week.
    - Job Type: Freelance contract.
    - Location: Remote, Australia
    - Rate: $40 per hour.
 
Requirements:  
    - Research skills — ability to find and verify information from multiple sources; comfort navigating different websites,          databases, and documentation
    - Critical thinking — Can spot contradictions between sources, identify outdated information, and recognize when                something doesn't apply to a specific locale/context
    - Attention to detail — Can catch nuances in language, local variations (prices, regulations, requirements), and edge            cases
    - Problem-solving mindset — Comfortable iterating and testing when things don't work; doesn't get frustrated by trial-        and-error
    - Domain knowledge — Ideally someone with background in research, quality assurance, compliance, or similar work           that requires precision and source verification
    - Writing clarity — Can articulate instructions and rubrics clearly so others understand the logic behind their reasoning
       Locale knowledge — Deep familiarity with their specific locale (local regulations, business practices, cultural                       nuances) is valuable for spotting region-specific failures