Digital Agronomy Working Student (all genders)

Klim

Berlin, Germany · Onsite · Full Time

Posted

Job description

At Klim, we work with farmers and food companies to make regenerative agriculture scalable and financially rewarding for farmers. Through our platform, we help farmers restore soil health, increase biodiversity and capture carbon while creating new, reliable income streams. We’re a Berlin-based AgriTech startup backed by $22M in Series A funding, partnering with global food leaders such as Nestlé and Kaufland to reduce emissions across their supply chains and build long-term resilience. Since 2020, we’ve supported 3,500 farmers managing over 900,000 hectares. If you’re passionate about building a sustainable food system and driving real climate impact, join us and help create a healthier planet! Your mission: You contribute to Klim’s agronomy team and farm economics work with research, data preparation, documentation, testing and content tasks that help us build high-quality digital agronomist products for arable farming systems in temperate climates. Your responsibilities: Research, data & knowledge management Conduct desk research on regenerative arable practices, agronomic assumptions, farm economics, market dynamics and competitor research Help maintain agronomic and farm-economic datasets, literature bases, benchmarks and source documentation. Help structure insights from farmer interviews, user feedback, expert conversations and internal agronomy requests. Support expansion research for new crops, regions, climate zones or farming systems. Product testing, quality checks & content Support quality checks of digital agronomist features, recommendations, model outputs, copy and translations. Prepare test cases, collect example farms or scenarios, and document whether outputs make practical sense. Support checks of agronomic content on the platform for completeness, consistency and practical clarity. Support German and English product strings, agronomic explanations, knowledge articles and farmer-facing content. Use AI tools responsibly to accelerate research, documentation and synthesis. Your profile: Education & interests You are enrolled in a German university, currently studying agricultural sciences, agronomy, agricultural economics, environmental sciences, sustainability, data science with an agriculture focus, or a related field; and available for at least one more year of study. You have a strong interest in regenerative agriculture, digital agric…

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