Atmospheric Science Expert (Masters/PhDs)
About this role
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: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design, solve, and review advanced atmospheric science problems with real-world scientific relevance - Apply your expertise in climate modeling, meteorology, ecology, or sustainability to craft complex, nuanced problem statements - Collaborate asynchronously with AI researchers and fellow domain experts to sharpen AI model reasoning - Evaluate the quality, depth, and scientific accuracy of AI-generated outputs in your field - Ensure scientific rigor, clarity, and precision across all deliverables - Work 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 field - Experienced with Python or R for research, data analysis, or modeling - Deeply knowledgeable in one or more of: climate modeling, meteorology, atmospheric dynamics, ecology, or sustainability science - Exceptionally clear and precise in written communication — you can translate complex science into well-structured problems - Detail-oriented, methodical, and committed to producing high-quality scientific work - Fluent in English Nice to Have - Experience with data annotation, data quality evaluation, or AI training workflows - Familiarity with large-scale climate datasets or simulation frameworks - Background in academic research, peer review, or scientific publishing - Interest in the intersection of environmental science and artificial intelligence Why Join Us - Work on cutting-edge AI projects alongside leading research labs and AI teams - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, intellectually stimulating work - Make a direct impact on how AI understands and reasons about the physical world - Potential for ongoing work and contract extension as new projects launch
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