Climate Data Specialist

Alignerr Corp.; United States; Remote; MXN 1,029,000 - 1,801,000; Part time

Job summary

Alignerr is seeking a Climate Data Specialist (AI Training) to design and evaluate advanced environmental science problems that train AI models. You will work remotely with AI researchers, applying your Masters or PhD in Environmental Science and your Python or R expertise to ensure rigor, clarity, and practical relevance in problem sets.

The role is an hourly contract with a flexible schedule, enabling asynchronous collaboration across time zones while contributing to cutting-edge AI projects

Qualifications

• Master's or PhD in Environmental Science, Climate Science, Ecology, or closely related field.
• Deep expertise in climate modeling, ecology, sustainability, or environmental data analysis.
• Proficient in Python or R for research or applied projects.
• Exceptional written communicator with ability to explain complex science clearly.
• Detail-oriented, self-motivated, and comfortable working independently in an async environment.
• Fluent in English; based in the U.S., Canada, U.K., Australia, or New Zealand.

Responsibilities

• Design and develop advanced, real-world environmental science problems spanning climate modeling, ecology, and sustainability.
• Solve and critically review complex problem sets to ensure scientific accuracy, depth, and rigor.
• Collaborate asynchronously with AI researchers and domain experts to enhance AI reasoning in environmental science.
• Apply your expertise in Python or R to support data-driven problem development.
• Ensure all deliverables meet high standards of clarity, scientific integrity, and practical relevance.

Skills

Python

R

Environmental science

Education

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

Job description

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 fields on the planet? We're looking for Environmental Science specialists — Masters and PhD level — to develop and evaluate advanced scientific problems that train the next generation of AI models. This is a fully remote, flexible contract role. You'll work asynchronously alongside AI researchers and domain experts, applying the depth of your academic training to problems that genuinely matter.

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

What You’ll Do

• Design and develop advanced, real-world environmental science problems spanning climate modeling, ecology, and sustainability
• Solve and critically review complex problem sets to ensure scientific accuracy, depth, and rigor
• Collaborate asynchronously with AI researchers and fellow domain experts to enhance AI reasoning in environmental science
• Apply your expertise in Python or R to support data-driven problem development
• Ensure all deliverables meet high standards of clarity, scientific integrity, and practical relevance

Who You Are

• Holds a Master's or PhD in Environmental Science, Climate Science, Ecology, or a closely related field
• Deep expertise in one or more of: climate modeling, ecology, sustainability, or environmental data analysis
• Proficient in Python or R for research or applied projects
• Exceptional written communicator — you can explain complex science clearly and precisely
• Detail-oriented, self-motivated, and comfortable working independently in an async 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, data quality assessment, or AI evaluation workflows
• Background in research publication, peer review, or scientific writing
• Familiarity with environmental datasets, remote sensing, or geospatial analysis
• Experience designing or grading rigorous academic problem sets

Why Join Us

• Work on cutting-edge AI projects alongside leading AI research labs
• Fully remote and flexible — set your own schedule and work from anywhere
• Freelance autonomy with the structure of meaningful, task-based work
• Apply your advanced scientific training to problems at the frontier of AI development
• Make a direct, tangible impact on how AI reasons about climate and environmental science
• Potential for ongoing work and contract extension as new projects launch