Climate Data Specialist

Alignerr Corp.; Dublin; Remote; EUR 14,000 - 55,000; Full time

Benefits offered by this job

Fully remote

Contract-based

Flexible hours

Job summary

Alignerr is seeking Climate Data Specialists—environmental scientists with advanced degrees—to craft complex, real-world problems that train cutting-edge AI models to think more rigorously about climate and environmental science. This is a fully remote, hourly contract for researchers and domain experts who want to apply deep scientific knowledge to frontier AI development.

You design, solve, and review advanced environmental science problems, collaborating asynchronously with AI researchers to

Qualifications

• Master's or PhD in Environmental Science, Climate Science, Ecology or closely related field.
• Proficiency in Python or R for research or data analysis.
• Deep subject matter expertise in climate modeling, ecology, sustainability or environmental systems.
• Clear written communicator able to explain complex concepts precisely.
• Detail-oriented, methodical, and comfortable working independently in an asynchronous environment.
• Fluent in English.

Responsibilities

• Design, solve, and review advanced environmental science problems with real-world relevance.
• Apply climate modeling, ecology or sustainability expertise to construct complex problem sets.
• Collaborate asynchronously with AI researchers and domain experts to sharpen model reasoning.
• Evaluate scientific accuracy, depth, and clarity of AI-generated outputs in your area.
• Ensure deliverables meet high standards of scientific rigor and communication quality.

Skills

Python

R

Climate modeling

Ecology

Sustainability

Education

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

Tools

AI tools

Job description

About The Role

What if your expertise in climate modeling, ecology, or environmental science could directly shape how AI reasons about one of the most important challenges facing our planet? We're looking for Climate Data Specialists — environmental scientists with advanced degrees — to develop complex, real-world problems that train cutting-edge AI models to think more rigorously about climate and environmental science.

Climate Data Specialist (AI Training)

About The Role

What if your expertise in climate modeling, ecology, or environmental science could directly shape how AI reasons about one of the most important challenges facing our planet? We're looking for Climate Data Specialists — environmental scientists with advanced degrees — to develop complex, real-world problems that train cutting-edge AI models to think more rigorously about climate and environmental science.

This is a fully remote, flexible contract role built for researchers and domain experts who want to apply their deep scientific knowledge to frontier AI development.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You’ll Do

• Design, solve, and review advanced environmental science problems with genuine real-world relevance
• Apply your expertise in climate modeling, ecology, sustainability, or related disciplines to construct complex, rigorous problem sets
• Collaborate asynchronously with AI researchers and fellow domain experts to sharpen AI model reasoning
• Evaluate the scientific accuracy, depth, and clarity of AI-generated outputs in your area of expertise
• Ensure all deliverables meet high standards of scientific rigor and communication quality

Who You Are

• Holds a Master's or PhD in Environmental Science, Climate Science, Ecology, or a closely related field
• Experienced with Python or R for research or data analysis
• Deep subject matter expertise in climate modeling, ecology, sustainability, or environmental systems
• Exceptionally clear written communicator — able to explain complex concepts with precision
• Detail-oriented, methodical, and comfortable working independently in an asynchronous environment
• Fluent in English

Nice to Have

• Prior experience with data annotation, data quality assurance, or AI evaluation workflows
• Background in interdisciplinary environmental research spanning multiple subfields
• Familiarity with AI tools or large language models as an end user
• Experience designing or grading advanced academic problem sets

Why Join Us

• Work at the frontier of AI development alongside leading research labs
• Fully remote and asynchronous — work when and where it suits you
• Freelance autonomy with the structure and consistency of ongoing project-based work
• Apply your scientific expertise to problems that matter at a global scale
• Contribute to AI systems that will reason about climate and environmental science for years to come
• Potential for ongoing work and contract extension as new projects launch