Climate Data Specialist

Alignerr Corp.; Deutschland; Remote; EUR 49,000 - 104,000; Part time

Job summary

Alignerr is seeking a Climate Data Specialist (AI Training) to advance environmental science problems used to train AI models. This fully remote, hourly contract role invites researchers with advanced degrees to apply climate modeling, ecology, or environmental science expertise to develop and evaluate real-world problems for AI reasoning.

You will work asynchronously with AI researchers to design rigorous problem sets, review AI-generated reasoning, and ensure scientific accuracy while

Qualifications

• Master's or PhD in Environmental Science, Climate Science, Ecology, or a closely related field.
• Deep expertise in climate modeling, ecology, sustainability, or earth systems science.
• Proficiency in Python or R for research and data analysis.
• Excellent written communication with ability to explain complex concepts clearly.
• Strong attention to detail and independent, asynchronous work style.
• Fluent in English; remote work from eligible regions.

Responsibilities

• Design and evaluate advanced environmental science problems grounded in real-world relevance.
• Leverage climate modeling and related disciplines to create rigorous problem sets.
• Evaluate AI-generated scientific reasoning for accuracy and depth.
• Collaborate asynchronously with AI researchers to improve model performance.
• Ensure clarity, precision, and integrity across deliverables.
• Work independently on task-based assignments at your own pace.

Skills

Python

R

Data analysis

Research

English communication

Education

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

Tools

None

Job description

About The Role

What if your expertise in climate modeling, ecology, or environmental science could directly shape how AI understands one of the most critical domains of our time? We're looking for Climate Data Specialists with advanced degrees to develop and evaluate complex, real-world environmental science problems — helping train the next generation of AI models to reason with scientific rigor.

Climate Data Specialist (AI Training)

What if your expertise in climate modeling, ecology, or environmental science could directly shape how AI understands one of the most critical domains of our time? We're looking for Climate Data Specialists with advanced degrees to develop and evaluate complex, real-world environmental science problems — helping train the next generation of AI models to reason with scientific rigor.

This is a fully remote, flexible contract role built for researchers and domain experts who want to apply their knowledge at the frontier of AI development. No prior AI experience required — your scientific expertise is what matters most.

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

What You'll Do

• Design, solve, and critically review advanced environmental science problems grounded in real-world relevance
• Apply your expertise in climate modeling, ecology, sustainability, or related disciplines to create rigorous, complex problem sets
• Evaluate AI-generated scientific reasoning for accuracy, depth, and methodological soundness
• Collaborate asynchronously with AI researchers and fellow domain experts to enhance model performance
• Ensure scientific clarity, precision, and integrity across all deliverables
• Work independently on task-based assignments at your own pace

Who You Are

• Holds a Master's or PhD in Environmental Science, Climate Science, Ecology, or a closely related field
• Deep expertise in at least one of: climate modeling, ecology, environmental sustainability, or earth systems science
• Proficient in Python or R for research, data analysis, or modeling
• Exceptional written communicator — able to explain complex scientific concepts with clarity and precision
• Naturally detail-oriented with a rigorous, methodical approach to problem-solving
• Self-motivated and reliable when working independently in an asynchronous environment
• Fluent in English and based in the U.S., Canada, U.K., Australia, or New Zealand

Nice to Have

• Prior experience with data annotation, evaluation systems, or AI training workflows
• Background in quantitative modeling, environmental data analysis, or computational ecology
• Experience writing or reviewing peer-reviewed scientific content
• Familiarity with AI tools or large language model evaluation as an end user

Why Join Us

• Work on cutting-edge AI projects alongside leading research labs and AI teams
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, substantive scientific work
• Apply your advanced degree to problems that matter — at the intersection of climate science and AI
• Potential for ongoing work and contract extension as new projects launch