Atmospheric Science Expert (Masters/PhDs)

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: 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