Remote Climate Data Specialist (Contract)

Alignerr; Seattle (WA); On-site; USD 55,000 - 96,000; Part time

Job summary

Alignerr is seeking a Climate Data Specialist for a remote hourly contract to help train AI on climate science problems. You will solve real-world environmental science challenges in climate modeling, ecology, and sustainability, shaping AI reasoning with scientific rigor.

The role emphasizes independent, task-based work with flexible scheduling, and collaboration with AI researchers. A master's or PhD in a relevant field is required, with fluency in English and strong writing skills.

Qualifications

• Master's or PhD in Environmental Science, Climate Science, Ecology, or related field.
• Strong knowledge of climate modeling, ecological systems, or sustainability science.
• Proficient in Python or R for research and data analysis.
• Excellent written communication; ability to explain complex science clearly.
• Detail-oriented with high standards for scientific accuracy.

Responsibilities

• Design, solve, and critically review advanced environmental science problems with genuine real-world relevance.
• Apply expertise in climate modeling, ecology, sustainability, or related disciplines to craft complex, rigorous problem statements.
• Evaluate AI-generated scientific reasoning for accuracy, depth, and methodological soundness.
• Collaborate asynchronously with AI researchers and fellow domain experts to push the boundaries of AI scientific reasoning.
• Ensure scientific rigor, clarity, and intellectual depth across every deliverable.
• Work independently on task-based assignments - fully on your own schedule.

Skills

Climate modeling

Ecology

Data analysis

Python

R

Scientific writing

Education

Master's degree in Environmental Science or related field

PhD in Environmental Science or related field

Tools

Python

R

Job description

Alignerr is seeking a Climate Data Specialist for a remote hourly contract to help train AI on climate science problems. You will solve real-world environmental science challenges in climate modeling, ecology, and sustainability, shaping AI reasoning with scientific rigor.

The role emphasizes independent, task-based work with flexible scheduling, and collaboration with AI researchers. A master's or PhD in a relevant field is required, with fluency in English and strong writing skills.