Climate Data Specialist (AI Training)

About The Role

What if your expertise in climate modeling, ecology, or environmental science could directly shape how AI understands one of the most critical fields on the planet? We're looking for Environmental Science specialists — Masters and PhD level — to develop and evaluate advanced scientific problems that train the next generation of AI models.

This is a fully remote, adaptable contract role. You'll work asynchronously alongside AI researchers and domain experts, applying the depth of your academic training to problems that genuinely matter.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Design and develop advanced, real-world environmental science problems spanning climate modeling, ecology, and sustainability
• Solve and critically review complex problem sets to ensure scientific accuracy, depth, and rigor
• Collaborate asynchronously with AI researchers and fellow domain experts to enhance AI reasoning in environmental science




• Apply your expertise in Python or R to support data-driven problem development
• Ensure all deliverables meet high standards of clarity, scientific integrity, and practical relevance

Who You Are

• Holds a Master's or PhD in Environmental Science, Climate Science, Ecology, or a closely related field
• Deep expertise in one or more of: climate modeling, ecology, sustainability, or environmental data analysis
• Proficient in Python or R for research or applied projects
• Exceptional written communicator — you can explain complex science clearly and precisely
• Detail-oriented, self-motivated, and comfortable working independently in an async environment
• Fluent in English and based in the U.S., Canada, U.K., Australia, or New Zealand

Nice to Have

• Prior experience with data annotation, data quality assessment, or AI evaluation workflows
• Background in research publication, peer review, or scientific writing
• Famili

📌 Climate Data Specialist (Ciudad de México)
🏢 Alignerr
📍 Ciudad de México