Atmospheric Science Expert (Masters/PhDs)
Alignerr · New York, NY · Today
RemoteRemoteAnalystContract
Atmospheric Science Expert (AI Training) About The Role What if your deep knowledge of atmospheric science could directly shape how AI understands our planet's most complex systems — from climate modeling to ecological dynamics? We're looking for Atmospheric Science experts to develop advanced, rigorous problems that train the next generation of AI models to reason at a scientific level. This is a fully remote, flexible contract role built for researchers and domain specialists who want to apply their expertise in a high-impact, innovative way. No prior AI experience needed — just a strong scientific background and a passion for intellectual rigor. Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/week What You'll Do Design, solve, and review advanced atmospheric science problems with real-world scientific relevanceApply your expertise in climate modeling, meteorology, ecology, or sustainability to craft complex, nuanced problem statementsCollaborate asynchronously with AI researchers and fellow domain experts to sharpen AI model reasoningEvaluate the quality, depth, and scientific accuracy of AI-generated outputs in your fieldEnsure scientific rigor, clarity, and precision across all deliverablesWork independently on task-based assignments, fully on your own schedule Who You Are Holder of a Master's or PhD in Atmospheric Science or a closely related fieldExperienced with Python or R for research, data analysis, or modelingDeeply knowledgeable in one or more of: climate modeling, meteorology, atmospheric dynamics, ecology, or sustainability scienceExceptionally clear and precise in written communication — you can translate complex science into well-structured problemsDetail-oriented, methodical, and committed to producing high-quality scientific workFluent in English Nice to Have Experience with data annotation, data quality evaluation, or AI training workflowsFamiliarity with large-scale climate datasets or simulation frameworksBackground in academic research, peer review, or scientific publishingInterest in the intersection of environmental science and artificial intelligence 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, intellectually stimulating workMake a direct impact on how AI understands and reasons about the physical worldPotential for ongoing work and contract extension as new projects launch