Atmospheric Science Expert (Masters/PhDs)

Job summary

Develop and review advanced atmospheric and environmental science problems to train AI models. Evaluate AI-generated scientific reasoning for accuracy and methodological soundness while collaborating with AI researchers.

Job details

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: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Develop, solve, and critically review advanced atmospheric and environmental science problems with real-world relevance Apply your expertise in climate modeling, atmospheric dynamics, ecology, or sustainability to craft complex, rigorous 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 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 field Strong expertise in at least one of: climate modeling, atmospheric dynamics, ecology, or sustainability science Proficient in Python or R for data analysis or scientific computing Exceptional written communicator — you can explain complex science clearly and precisely Detail-oriented, self-directed, and comfortable working independently in an asynchronous environment Fluent in English Nice to Have Experience with data annotation, data quality evaluation, or AI/ML research workflows Background in numerical modeling, remote sensing, or environmental data analysis Familiarity with AI tools or scientific benchmarking Prior work bridging scientific research and applied technology 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, high-impact scientific work Apply your expertise in a new and exciting domain — shaping how AI understands the physical world Potential for ongoing work and contract extension as new projects launch

What you’ll do

Develop and review advanced atmospheric and environmental science problems to train AI models. Evaluate AI-generated scientific reasoning for accuracy and methodological soundness while collaborating with AI researchers.

Requirements

Requires a Master's or PhD in Atmospheric, Climate, or Environmental Science with proficiency in Python or R. Candidates must have strong expertise in climate modeling or atmospheric dynamics and exceptional written communication skills.

Listed skills

• Data analysis · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Climate Modeling
• Atmospheric Dynamics
• Ecology
• Sustainability Science
• Python
• R
• Data Analysis
• Scientific Computing
• Scientific Reasoning
• Technical Writing
• Data Annotation
• Remote Sensing
• Numerical Modeling
• Environmental Data Analysis

Job areas

• Science & Research
• Environmental & Sustainability
• Technology
• Data & Analytics
• Software