MSR Project - Japanese Culture Expert

Overview Are you passionate about languages, writing, and quality evaluation? We are launching an exciting language evaluation project and are looking for Japanese-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 Common issues: local relevance, source quality, outdated information, language mismatches, incomplete answers, and region-specific inapplicability.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. This is a practical, execution-focused role. We value hands-on performance and consistency over advanced academic training. Candidates who prefer theoretical/research work may not find this role a good fit. Project Details: - Start Date: ASAP - Duration: Ongoing Project. - Commitment: 20/hours week. - Job Type: Freelance contract. - Location: Japan, Remote - Rate: $35-57.75 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websites, databases, and documentation - Critical thinking — Can spot contradictions between sources, identify outdated information, and recognize when something doesn't apply to a specific locale/context - Attention to detail — Can catch nuances in language, local variations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