Alignerr
Atmospheric Science Expert (Masters/PhDs)
This role is a remote, hourly contract position with a base pay range of $75–$90 per hour. The role focuses on applying advanced atmospheric science expertise to support AI research. The position requires strong data and programming skills and a deep knowledge of climate modeling and sustainability.
Base pay range $75.00/hr - $90.00/hr
About The Job At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting‑edge AI models.
Role 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 from a top U.S. university (or equivalent).
Experience coding in Python or R for research or projects.
Strong expertise in climate modeling, ecology, or sustainability.
Exceptional written and verbal communication skills with strong attention to detail.
Fluent in English and currently based in the U.S., Canada, New Zealand, U.K., or Australia.
Preferred
Prior experience with data annotation, data quality, or evaluation systems.
Application Process
Submit your resume.
Complete a short screening.
Project matching and onboarding.
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
#J-18808-Ljbffr
Base pay range $75.00/hr - $90.00/hr
About The Job At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting‑edge AI models.
Role 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 from a top U.S. university (or equivalent).
Experience coding in Python or R for research or projects.
Strong expertise in climate modeling, ecology, or sustainability.
Exceptional written and verbal communication skills with strong attention to detail.
Fluent in English and currently based in the U.S., Canada, New Zealand, U.K., or Australia.
Preferred
Prior experience with data annotation, data quality, or evaluation systems.
Application Process
Submit your resume.
Complete a short screening.
Project matching and onboarding.
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
#J-18808-Ljbffr