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Computational Ocean Scientist

Remote / Online - Candidates ideally in
Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Aligned Labs
Part Time, Remote/Work from Home position
Listed on 2026-09-30
Job specializations:
  • Research/Development
    Research Scientist, AI Business & Operations, Data Scientist, Biology
  • Science
    Research Scientist, AI Business & Operations, Data Scientist, Biology
Salary/Wage Range or Industry Benchmark: 60 - 100 USD Hourly USD 60.00 100.00 HOUR
Job Description & How to Apply Below

We are looking to expand our team of expert consultants with 10 PhD Ocean Scientists for part-time, fully remote work supporting frontier AI research. Projects pay $60-100 USD per hour
, with higher rates for experts with extensive publication records and tenure at leading institutions.

This role includes stress-testing leading AI models on research-level ocean 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 ocean scientist.

About the Company

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.

Required Qualifications
  • Fluent English reading and writing skills
  • PhD in Oceanography, Ocean Science, Marine Science, or a closely related field
  • Hands-on experience in computational modeling, simulation, or large-scale data analysis
Ideal Backgrounds Include
  • Faculty, postdoctoral researchers, and research scientists in university oceanography and marine science departments
  • Scientists at research institutions such as Woods Hole Oceanographic Institution, Scripps Institution of Oceanography, or equivalent marine research centers
  • Scientists at government agencies such as NOAA, NASA, or national ocean and fisheries agencies
  • Industry scientists applying ocean modeling in offshore energy, marine engineering, shipping, aquaculture, or climate risk analytics
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