About the role
We are seeking experienced Earth Sciences experts to develop realistic, terminal-based scientific and computational tasks for a frontier AI training and evaluation initiative. In this role, you will design challenging scientific tasks involving climate science, atmospheric processes, geophysics, oceanography, geology, hydrology, remote sensing, and environmental modeling. Main tasks listed: Design realistic, multi-step scientific tasks based on authentic Earth Sciences, climate, geospatial, environmental, and geophysical research workflows; Prepare and process scientific datasets involving climate, weather, atmospheric conditions, oceanography, geology, hydrology, satellite imagery, and environmental systems; Develop computational tasks involving geospatial analysis, time-series processing, numerical modeling, interpolation, forecasting, remote sensing, and environmental risk analysis; Build reproducible, terminal-based computational environments using scientific libraries, command-line tools, and appropriate dependencies. The listing says the work can involve sensitive or graphic content.
Experience
Ph.D., postdoctoral experience, or equivalent advanced technical experience in Earth Sciences, Climate Science, Atmospheric Science, Geophysics, Oceanography, Geology, Hydrology, Environmental Science, or a closely related discipline; Strong programming skills in Python, R, Bash, Julia, or another relevant scientific programming language; Hands-on experience working in Linux and terminal-based computational environments; Practical expertise in at least one major area: scientific data processing, numerical modeling, geospatial analysis, climate modeling, remote sensing, or environmental data analysis; Strong understanding of spatial datasets, time-series analysis, scientific modeling, numerical accuracy, uncertainty, and data quality control; Experience working with real-world scientific datasets, including geospatial, climate, atmospheric, oceanographic, geological, or hydrological data
Selection process
Apply through the official Turing page (free account required). The listing does not describe further selection steps.
Eligibility
Not stated on the listing (remote)