Remote Climate Data Specialist for AI Training (Contract)

Alignerr Corp.; United States; Remote; MXN 1,029,000 - 1,801,000; Part time

Job summary

Alignerr is seeking a Climate Data Specialist (AI Training) to design and evaluate advanced environmental science problems that train AI models. You will work remotely with AI researchers, applying your Masters or PhD in Environmental Science and your Python or R expertise to ensure rigor, clarity, and practical relevance in problem sets.

The role is an hourly contract with a flexible schedule, enabling asynchronous collaboration across time zones while contributing to cutting-edge AI projects

Qualifications

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

Responsibilities

• 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 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.

Skills

Python

R

Environmental science

Education

Master's or PhD in Environmental Science/Climate Science/Ecology

Job description

Alignerr is seeking a Climate Data Specialist (AI Training) to design and evaluate advanced environmental science problems that train AI models. You will work remotely with AI researchers, applying your Masters or PhD in Environmental Science and your Python or R expertise to ensure rigor, clarity, and practical relevance in problem sets.

The role is an hourly contract with a flexible schedule, enabling asynchronous collaboration across time zones while contributing to cutting-edge AI projects