Atmospheric Modeling Machine Learning Expert
Atmospheric Modeling Machine Learning Expert is an open role at AfterQuery Experts, with pay listed as $150 - $200/hr.
About this role
This is a remote, project-based role for machine learning researchers and engineers with deep expertise in ML applied to atmospheric modeling and climate science. You will complete tasks at the intersection of machine learning and atmospheric systems — including model development, data assimilation, and research tasks applied to weather prediction, climate projection, extreme event detection, and atmospheric dynamics. Work is over the next 2–3 weeks, asynchronous, and assigned on a project-by-project basis, with an expected commitment of 10–20 hours per week for the projects you accept. This position offers exceptional pay, exposure to cutting-edge climate and weather ML research, and a strong addition to your research portfolio.
Pay
$150 - $200/hr
About AfterQuery Experts
AfterQuery Experts's connection to AfterQuery: Direct expert network. Agent evaluation, model training, writing, ML and professional-domain work
Ownership confidence: Confirmed. See the full network profile →
Frequently asked questions
How do I apply for the Atmospheric Modeling Machine Learning Expert role at AfterQuery Experts?
Apply directly through AfterQuery Experts's own application process — HumanSourcer links out to the listing and doesn't handle applications or hiring directly.
Is the Atmospheric Modeling Machine Learning Expert role at AfterQuery Experts remote?
This role is listed as open globally.
What does the Atmospheric Modeling Machine Learning Expert role at AfterQuery Experts pay?
AfterQuery Experts lists this role's pay as $150 - $200/hr.
What kind of work is Atmospheric Modeling Machine Learning Expert?
Other. Agent evaluation, model training, writing, ML and professional-domain work
Is AfterQuery Experts a legitimate AI-training platform?
AfterQuery Experts's connection to AfterQuery: Direct expert network. Ownership confidence: Confirmed — verified via experts.afterquery.com.