Atmospheric Science Expert (Masters/PhDs)

About The Role

What if your deep knowledge of atmospheric science — climate systems, weather dynamics, and environmental modeling — could directly shape how AI reasons about some of the most pressing scientific challenges of our time? We're looking for Atmospheric Science experts with advanced degrees to help develop, solve, and evaluate complex scientific problems that train next-generation AI models. Your expertise will push AI to think more rigorously, reason more accurately, and engage meaningfully with real-world environmental science.

This is a fully remote, flexible contract role built for researchers and scientists who want to do meaningful work on their own schedule.

Organization

Alignerr

Type

Hourly Contract

Location

Remote

Commitment

10–40 hours/week

What You'll Do

• Design, solve, and critically review advanced atmospheric science problems with real-world relevance
• Apply your expertise in climate modeling, atmospheric dynamics, meteorology, or related areas to craft complex, high-quality problem sets
• Evaluate AI-generated scientific reasoning for accuracy, depth, and rigor
• Collaborate asynchronously with AI researchers and fellow domain experts to strengthen AI model outputs
• Ensure scientific clarity, precision, and intellectual depth across all deliverables
• Work independently on task-based assignments — fully on your own schedule

Who You Are

• Holds a Master's or PhD in Atmospheric Science, Climate Science, Meteorology, or a closely related field
• Experienced in Python or R for scientific research or data analysis
• Deep expertise in at least one of: climate modeling, atmospheric dynamics, weather systems, remote sensing, or environmental physics
• Exceptional written communicator — able to explain complex concepts with clarity and precision
• Detail-oriented and scientifically rigorous with a high standard for quality
• Fluent in English

Nice to Have

• Prior experience with data annotation, AI evaluation, or quality assurance workflows
• Background in interdisciplinary environmental science, ecology, or sustainability
• Familiarity with large-scale climate datasets or simulation frameworks (e.g., CMIP, WRF, CESM)
• Experience reviewing or publishing peer-reviewed scientific work

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 advanced scientific training to problems that genuinely matter
• Potential for ongoing work and contract extension as new projects launch