Remote Atmospheric Science Expert for AI Training

Alignerr Corp.; Vancouver; Remote; CAD 55,000 - 110,000; Part time

Benefits offered by this job

Fully remote

Flexible hours

Job summary

Alignerr is seeking an Atmospheric Science Expert (AI Training) to design and evaluate sophisticated scientific problems that train AI models. The role leverages climate modeling, atmospheric dynamics, ecology, or sustainability expertise to shape how AI reasons about environmental challenges on a global scale.

This fully remote, flexible hourly contract targets researchers, postdocs, and scientists who want to contribute to cutting-edge AI on their own schedule.

Qualifications

• Must hold a Master’s or PhD in Atmospheric Science, Climate Science, Environmental Science, or closely related field.
• Strong expertise in climate modeling, atmospheric dynamics, ecology, or sustainability science.
• Proficient in Python or R for data analysis or scientific computing.
• Exceptional written communicator with ability to explain complex science clearly.
• Detail-oriented, self-directed, and able to work independently in an asynchronous environment.

Responsibilities

• Develop, solve, and critically review advanced atmospheric and environmental science problems with real-world relevance.
• Apply expertise in climate modeling, atmospheric dynamics, ecology, or sustainability to craft rigorous problem statements.
• Evaluate AI-generated scientific reasoning for accuracy, depth, and methodological soundness.
• Collaborate asynchronously with AI researchers and domain experts to push AI scientific reasoning.
• Ensure all deliverables meet high standards of scientific rigor, clarity, and depth.

Skills

Python

R

English fluency

Data analysis

Education

Master's or PhD in Atmospheric Science or related

Tools

Jupyter

Git

Job description

Alignerr is seeking an Atmospheric Science Expert (AI Training) to design and evaluate sophisticated scientific problems that train AI models. The role leverages climate modeling, atmospheric dynamics, ecology, or sustainability expertise to shape how AI reasons about environmental challenges on a global scale.

This fully remote, flexible hourly contract targets researchers, postdocs, and scientists who want to contribute to cutting-edge AI on their own schedule.