About the job
Are you passionate about environmental science and excited to contribute to the advancement of AI technology? As large-scale language models transition from simple chatbots to powerful tools for scientific exploration, your expertise is crucial in providing high-quality training data. This role offers an opportunity to democratize education, keep pace with pioneering research, and enhance environmental analysis for professionals across the globe.
We are seeking dedicated environmental science specialists with a profound understanding of climate science, environmental chemistry, hydrology, atmospheric science, soil science, ecology, sustainability, and geospatial analysis. You will engage with advanced language models on topics such as carbon cycling, environmental impact assessments, air and water quality monitoring, ecosystem modeling, life cycle analysis, environmental toxicology, renewable energy systems, and climate adaptation strategies. Your role will involve documenting failures to refine model reasoning and improve overall performance.
Your typical responsibilities will include conversing with the model on real-world scenarios and theoretical questions in environmental science, verifying factual accuracy and logical coherence, capturing reproducible error traces, and recommending enhancements to our prompt engineering and evaluation metrics.
We prefer candidates with a PhD in environmental science or a closely related field, complemented by peer-reviewed publications, field research experience, regulatory knowledge, or proficiency in GIS-based environmental assessments. Excellent communication skills, particularly the ability to articulate your thought process, are essential.
Are you ready to transform your environmental science knowledge into the foundational knowledge for the next generation of AI? Apply today and start shaping the model that will educate the world.
