Computational Environmental Scientist

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RemoteContract

Computational Environmental Scientist

Aligned HQ

LocationRemote (Worldwide)

Compensation$60 - $100/hour

PostedSeptember 17, 2026

We are looking to expand our team of expert consultants with 12 PhD Environmental Scientists for part-time, fully-remote work supporting frontier AI research. Projects start at $60-80 USD per hour, with top-performing experts on our platform earning $150+ USD / hour.

This role includes stress-testing leading AI models on research-level environmental science problems, creating and verifying complex questions and explanations in your area of expertise, and assessing whether AI-generated reasoning meets the standards of a trained environmental scientist.

About Aligned At Aligned, we partner with the world's leading AI labs to push the frontier of AI knowledge in fields like STEM, medicine, finance, and the humanities. Our platform matches subject-matter experts (like you) with paid consulting work on frontier projects at these labs.

Who We're Looking For You hold a PhD in Environmental Science, Environmental Engineering, or a closely related field, and you are actively engaged in computational research. You build or apply quantitative models and work with large environmental datasets.

Ideal backgrounds include Faculty, postdoctoral researchers, and research scientists in university environmental science, environmental engineering, or earth and environmental systems departments Scientists at government agencies such as the EPA, USGS, or equivalent national environmental and water agencies Researchers at national laboratories or research institutes working on environmental modeling and simulation Industry scientists in environmental consulting, water resources, energy, or corporate sustainability and risk analytics Minimum Qualifications Fluent English reading and writing skills PhD in Environmental Science, Environmental Engineering, or a closely related field Hands-on experience in computational modeling, simulation, or large-scale data analysis

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