Climate Data Specialist

Alignerr Corp.; Dublin; Remote; EUR 12,000 - 49,000; Part time

Job summary

Alignerr Corp. is seeking Climate Data Specialists—environmental scientists with advanced degrees—to design real-world problems that train AI to reason about climate and environmental science.

This is a fully remote, hourly contract role built for researchers and domain experts who want to apply scientific knowledge to frontier AI development. You will collaborate asynchronously with AI researchers, applying climate modeling, ecology, sustainability, and related disciplines while using Python or

Qualifications

• Master's or PhD in Environmental Science, Climate Science, Ecology, or related field.
• Experience with Python or R for research or data analysis.
• Strong knowledge of climate modeling, ecology, or environmental systems.
• Excellent written communication and ability to work asynchronously.

Responsibilities

• Design and solve advanced environmental science problems with real-world relevance.
• Collaborate asynchronously with AI researchers and domain experts to refine problem sets.
• Evaluate the accuracy, depth, and clarity of AI outputs in environmental topics.
• Ensure deliverables meet scientific rigor and communication quality.

Skills

Python

R

Climate modeling

Ecology

Sustainability

Education

Master's or PhD in Environmental Science

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