Climate Data Specialist

Alignerr is seeking a Climate Data Specialist to develop real-world climate modeling and sustainability problems for AI training. This fully remote, flexible contract role is ideal for Masters or PhD-level researchers with expertise in environmental science. Responsibilities include designing complex problems, evaluating AI reasoning, and collaborating with researchers. Candidates should have strong communication skills and proficiency in Python or R. The position offers freelance autonomy and the potential for ongoing work.
Climate Data Specialist (AI Training)

About The Role

What if your expertise in climate science could directly shape how AI understands one of the most critical challenges facing our planet? We're looking for environmental science specialists to develop advanced, real-world problems in climate modeling, ecology, and sustainability — helping train the next generation of AI models to reason with scientific precision.

This is a fully remote, flexible contract role built for Masters and PhD-level researchers who want to put their deep domain knowledge to work on something genuinely impactful — without leaving behind the rigor and intellectual challenge they thrive on.

Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/week

What You'll Do

Design, solve, and review advanced environmental science problems with real-world relevance and scientific depthApply your expertise in climate modeling, ecology, sustainability, or related fields to construct complex, meaningful problem statementsEvaluate AI-generated scientific reasoning for accuracy, rigor, and clarityCollaborate asynchronously with AI researchers and fellow domain experts to push the boundaries of what AI can understand in your fieldEnsure all deliverables meet a high standard of scientific integrity and communicative clarity

Who You Are

Masters or PhD in Environmental Science, Climate Science, Ecology, or a closely related fieldDeep expertise in at least one of: climate modeling, ecology, environmental sustainability, or earth systems scienceProficient in Python or R for research or data analysisExceptionally strong written communicator — you can explain complex science clearly and preciselyDetail-oriented, rigorous, and self-directed when working independentlyFluent in English

Nice to Have

Prior experience with data annotation, data quality evaluation, or AI training workflowsBackground in scientific writing, peer review, or curriculum developmentFamiliarity with AI tools or language model evaluation as an end userExperience communicating complex environmental science to interdisciplinary audiences

Why Join Us

Work on cutting-edge AI projects alongside leading AI research labsFully remote and flexible — work when and where it suits youFreelance autonomy with the structure of meaningful, intellectually stimulating workApply your scientific expertise to a domain where it creates lasting, real-world impactPotential for ongoing work and contract extension as new projects launch