Remote Climate Data Scientist for AI Training

Alignerr Corp.; Sydney; Remote; AUD 55,000 - 110,000; Part time

Benefits offered by this job

Fully remote

Freelance autonomy

Job summary

Alignerr is seeking a Climate Data Specialist (AI Training) to design and evaluate real‑world environmental science problems for training AI models. You will apply climate modeling and ecology expertise to craft nuanced problem statements, and assess AI outputs for accuracy and clarity in a fully remote, freelance setup.

The role emphasizes independent work across time zones, collaboration with AI researchers, and delivering scientifically rigorous content for ongoing projects.

Qualifications

• Hold a Master’s or PhD in environmental fields such as Environmental Science, Climate Science or Ecology.
• Experience coding in Python or R for research/data analysis.
• Deep expertise in climate modeling, ecology, sustainability, or environmental systems.
• Excellent written communication with strong attention to detail.
• Self-directed and comfortable working independently in asynchronous settings.
• Fluent in English; eligible to work from Australia or related regions.

Responsibilities

• Design, solve, and review advanced environmental science problems with real-world relevance and scientific rigor.
• Apply climate modeling, ecology, sustainability expertise to craft complex problem statements for AI training.
• Evaluate AI-generated responses for scientific accuracy, depth, and clarity.
• Collaborate asynchronously with AI researchers and domain experts to improve model reasoning.
• Ensure deliverables meet high standards of scientific integrity and precision.

Skills

Python

R

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 real‑world environmental science problems for training AI models. You will apply climate modeling and ecology expertise to craft nuanced problem statements, and assess AI outputs for accuracy and clarity in a fully remote, freelance setup.

The role emphasizes independent work across time zones, collaboration with AI researchers, and delivering scientifically rigorous content for ongoing projects.