Outlier was a forward-thinking business intelligence company founded on the belief that the world didn't need more dashboards, charts, or data warehouses — but rather a better relationship between people and their data. Rather than adding complexity to an already crowded landscape, Outlier focused on helping leaders make smarter, more meaningful use of the tools they already had, bringing a refreshingly human-centered approach to the world of business intelligence. At the heart of Outlier's culture was a deeply held conviction that success in business and success in life are not separate pursuits, but intertwined aspects of a well-lived journey. This philosophy shaped not only the company's mission but the way it operated day to day — with as much care given to the journey as to the destination. Though Outlier closed its doors in 2022, its vision for a more intuitive and people-first approach to data remains a testament to the passion and purpose of the team that built it.
We're hiring an AI Language Evaluator to meticulously assess and refine AI model outputs, ensuring linguistic quality across diverse project teams. This role critically improves AI accuracy and natural language understanding, contributing significantly from a remote location with flexible work arrangements. Key Responsibilities: - Reading German text to rank AI-generated responses, applying linguistic expertise to enhance model performance and accuracy in language generation tasks. - Writing short stories in German on specified topics, demonstrating creative writing skills to provide high-quality training data for AI models. - Assessing the factual accuracy of German text produced by AI models, ensuring reliability and credibility of information generated by the AI system.
- 0+ years experience in professional translation or writing, demonstrating strong linguistic capabilities and practical application of language skills. - Undergraduate or graduate degree completed/enrolled in a humanities, writing, or creative writing related field, establishing foundational academic knowledge.