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General science - advanced ai data trainer (fluent in german)

Berlin
Invisible Agency
Trainer
Inserat online seit: 2 Juni
Beschreibung

Are you a science expert fluent in German and excited to shape the future of AI? Large-scale language models are evolving into intelligent academic assistants—capable of delivering personalized, multilingual science education to learners across the globe. But that transformation depends on high-quality training data grounded in real expertise. That’s where you come in. We’re seeking subject matter experts across STEM fields—including physics, biology, chemistry, general science, and environmental science—to help build the next generation of AI learning tools. You’ll interact directly with language models in German, evaluate scientific explanations for accuracy and clarity, and generate natural, well-reasoned examples of science instruction in a way that reflects German language, terminology, and pedagogy. You’ll simulate both the learner and instructor perspectives—testing the AI’s ability to answer questions, correct misconceptions, reason through complex problems, and explain key concepts clearly. You’ll flag flawed model logic, draft better responses, and support prompt engineering and evaluation efforts through thoughtful documentation. A bachelor’s, master’s, or PhD in a STEM discipline (e.g., physics, biology, chemistry, science education) is ideal. Preferably, candidates should have a strong understanding of student-focused content (e.g., high school to college-level material). University students and recent graduates are encouraged to apply. Teaching, tutoring, curriculum design, or science communication experience in German is Required. Strong written communication and the ability to show your reasoning process step-by-step are essential. Ready to transform your science expertise into the foundation of AI-powered education? Apply today and help us build the model that will teach the world—starting in German. Employment type: Contract Workplace type: Remote Seniority level: Mid-Level to Senior

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