Remote Position

Atmospheric Science Expert (Masters/PhDs)

🌍 Remote · United States 💼 Full-time

Atmospheric Science Expert (AI Training) About The Role What if your deep expertise in 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 and evaluate advanced scientific problems that train the next generation of AI models to reason with genuine scientific rigor. This is a fully remote, flexible contract role built for researchers and domain specialists. No AI background needed — just a command of atmospheric science and a passion for applying your knowledge to problems that matter. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week

What You'll Do

Develop, solve, and review advanced atmospheric and environmental science problems with real-world relevance Apply your expertise in climate modeling, ecology, sustainability, or related disciplines to craft complex, high-quality problem statements Evaluate AI-generated scientific reasoning for accuracy, depth, and methodological soundness Collaborate asynchronously with AI researchers and fellow domain experts to push the boundaries of AI scientific reasoning Ensure scientific rigor, clarity, and intellectual depth across all deliverables Work independently on task-based assignments — fully on your own schedule Who You Are Master's or PhD in Atmospheric Science, Environmental Science, or a closely related field Strong expertise in at least one of: climate modeling, ecology, atmospheric dynamics, or sustainability science Proficient in Python or R for research or data analysis Exceptional written communicator — able to express complex ideas with precision and clarity Detail-oriented and intellectually rigorous in your approach to scientific problems Self-motivated and comfortable working independently in an asynchronous environment

Nice to Have

Prior experience with data annotation, data quality evaluation, or AI training workflows Background in scientific writing, peer review, or academic publishing Familiarity with AI tools or language model evaluation as an end user Experience mentoring students or communicating science to non-specialist audiences

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 Apply your scientific expertise to problems with real-world impact at a global scale Potential for ongoing work and contract extension as new projects launch

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