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Upload Your ResumeAbout This Role
Alignerr is seeking an Environmental Science Expert with a Masters/Ph.D. in Atmospheric Science or a related field. This role involves developing and reviewing environmental science problems with real-world relevance, contributing to climate modeling, ecology, and sustainability, and collaborating with AI researchers to enhance AI model reasoning.
Responsibilities
- Develop, solve, and review advanced environmental science problems with real-world relevance
- Apply expertise in climate modeling, ecology, sustainability, or related areas to design complex problem statements
- Collaborate asynchronously with AI researchers and domain experts to enhance AI model reasoning
- Ensure scientific rigor, clarity, and depth across all deliverables
Requirements
- Master’s or PhD in Atmospheric Science or a related field
- Experience coding in Python or R for research or projects
- Strong expertise in climate modeling, ecology, or sustainability
- Exceptional written and verbal communication skills
- Fluent in English and currently based in the U.S., Canada, New Zealand, U.K., or Australia
Qualifications
- Master’s or PhD in Atmospheric Science or a related field from a top U.S. university (or equivalent)
Nice to Have
- Prior experience with data annotation, data quality, or evaluation systems
Skills
Python
*
R
*
* Required skills
About Alignerr
Alignerr partners with the world’s leading AI research teams and labs to build and train cutting-edge AI models.
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