Atmospheric Science Expert (Masters/PhDs)

Alignerr is seeking an Atmospheric Science Expert (Masters/PhDs) for a fully remote, flexible contract role. The position involves developing and evaluating scientific problems to train AI models on climate dynamics and ecological challenges. Candidates should have expertise in atmospheric science and proficiency in Python or R. The role offers freelance autonomy, the opportunity to work with leading researchers, and a commitment of 10–40 hours per week.
Atmospheric Science Expert (AI Training)

About The Role

What if your years of graduate-level training in atmospheric science could directly shape how AI understands our planet's most complex systems — from climate dynamics to ecological tipping points?

We're looking for Atmospheric Science experts to design and evaluate advanced scientific problems that train the next generation of AI models. Your domain knowledge won't just sit in a thesis — it will actively influence how AI reasons through real-world environmental challenges at a global scale.

This is a fully remote, flexible contract role built for working researchers, postdocs, and scientists who want to contribute to cutting-edge AI on their own schedule.

Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/week

What You'll Do

Develop, solve, and critically review advanced atmospheric and environmental science problems with real-world relevanceApply your expertise in climate modeling, atmospheric dynamics, ecology, or sustainability to craft complex, rigorous problem statementsEvaluate AI-generated scientific reasoning for accuracy, depth, and methodological soundnessCollaborate asynchronously with AI researchers and fellow domain experts to push the boundaries of AI scientific reasoningEnsure every deliverable meets a high bar for scientific rigor, clarity, and intellectual depth

Who You Are

Holds a Master's or PhD in Atmospheric Science, Climate Science, Environmental Science, or a closely related fieldStrong expertise in at least one of: climate modeling, atmospheric dynamics, ecology, or sustainability scienceProficient in Python or R for data analysis or scientific computingExceptional written communicator — you can explain complex science clearly and preciselyDetail-oriented, self-directed, and comfortable working independently in an asynchronous environmentFluent in English

Nice to Have

Experience with data annotation, data quality evaluation, or AI/ML research workflowsBackground in numerical modeling, remote sensing, or environmental data analysisFamiliarity with AI tools or scientific benchmarkingPrior work bridging scientific research and applied technology

Why Join Us

Work on cutting-edge AI projects alongside leading research labs and AI teamsFully remote and flexible — work when and where it suits youFreelance autonomy with the structure of meaningful, high-impact scientific workApply your expertise in a new and exciting domain — shaping how AI understands the physical worldPotential for ongoing work and contract extension as new projects launch