About the role
We are seeking Earth Sciences experts to develop realistic, terminal-based scientific tasks for Terminal Bench Science. You will create computational workflows involving environmental data, climate systems, atmospheric processes, geophysics, oceanography, geology, and related fields. You will design tasks that require AI agents to inspect scientific datasets, process geospatial or time-series data, run models, troubleshoot pipelines, and generate objectively verifiable scientific outputs. Main tasks listed: Translate authentic Earth-science workflows into self-contained terminal benchmark tasks; Prepare geospatial, climate, atmospheric, geological, hydrological, or oceanographic datasets; Build reproducible computational environments with appropriate scientific libraries and command-line tools; Create expert solutions using Python, R, Bash, Julia, or domain-specific software. The listing says the work can involve sensitive or graphic content.
Experience
Ph.D., postdoctoral experience, or equivalent advanced technical experience in Earth Sciences or a closely related field; Strong expertise in at least one area such as climate science, atmospheric science, geophysics, oceanography, geology, hydrology, remote sensing, environmental modeling, or Earth-system science; Strong programming skills in Python, R, Julia, Bash, or another scientific programming language; Hands-on experience with scientific data processing, numerical modeling, geospatial analysis, environmental datasets, or time-series analysis; Comfortable working independently in Linux/terminal-based environments; Ability to build, debug, and validate reproducible scientific computational workflows
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)