Earth Sciences AI Research Engineer: Climate Modeling & Data Tasks

Turing; United States; Remote; USD 110,000 - 170,000; Full time

Job summary

Turing is seeking Earth Sciences experts to design terminal-based, multi-step scientific tasks for an AI training and evaluation initiative. You will craft datasets, workflows, and reproducible environments across climate science, geophysics, oceanography, and remote sensing.

Responsibilities include developing reference solutions in Python, R, Bash, or Julia, and creating robust tests to ensure numerical accuracy and reproducibility. Remote collaboration is expected.

Qualifications

• Ph.D. or equivalent advanced technical experience in Earth sciences.
• Proficiency in Python, R, Bash or Julia for scientific computing.
• Experience in Linux and terminal-based environments.
• Extensive work with geospatial, climate or environmental datasets.

Responsibilities

• Design realistic, multi-step scientific tasks based on Earth sciences workflows.
• Prepare and process climate, atmospheric, oceanographic, and environmental datasets.
• Develop tasks involving geospatial analysis, time-series processing, and modeling.
• Build reproducible terminal-based computational environments.
• Create reference solutions using Python, R, Bash, Julia or scientific software.
• Develop automated tests and evaluation criteria for scientific validity.
• Validate CRS, units, timestamps, missing data, uncertainty, and assumptions.
• Troubleshoot issues with geospatial projections, datasets, and performance.

Skills

Python

R

Bash

Julia

Linux

Terminal-based environments

Scientific computing

Education

Ph.D. in Earth Sciences / Climate Science / related

Postdoctoral experience

Tools

NumPy

pandas

SciPy

xarray

rasterio

GeoPandas

Cartopy

GDAL

Docker

Job description

Turing is seeking Earth Sciences experts to design terminal-based, multi-step scientific tasks for an AI training and evaluation initiative. You will craft datasets, workflows, and reproducible environments across climate science, geophysics, oceanography, and remote sensing.

Responsibilities include developing reference solutions in Python, R, Bash, or Julia, and creating robust tests to ensure numerical accuracy and reproducibility. Remote collaboration is expected.