Jobs · Information Technology

Climate Data Specialist

Alignerr · Seattle, WA · 4 days ago
RemoteRemoteInformation TechnologyContract
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 to develop and evaluate advanced environmental science problems that train the next generation of AI models — making them smarter, more rigorous, and genuinely useful for real-world scientific challenges. This is a fully remote, flexible contract role built for environmental scientists who want to put their deep expertise to work beyond the lab or classroom. Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/week What You'll Do Design and develop advanced, real-world environmental science problems spanning climate modeling, ecology, sustainability, and related domainsSolve and critically review complex problem sets to ensure scientific accuracy, depth, and rigorApply your domain expertise to help AI systems reason more effectively about environmental science conceptsCollaborate asynchronously with AI researchers and fellow domain experts to refine and improve AI model outputsEnsure all deliverables meet high standards of scientific clarity, precision, and relevance Who You Are Holds a Master's or PhD in Environmental Science, Climate Science, Ecology, or a closely related fieldStrong expertise in at least one of: climate modeling, ecology, sustainability science, or environmental data analysisProficient in Python or R for research, data analysis, or scientific computingExceptional written communication skills — you can translate complex science into clear, structured problem statementsDetail-oriented and rigorous, with a commitment to accuracy and scientific integrityFluent in English and currently based in the U.S., Canada, U.K., Australia, or New Zealand Nice to Have Prior experience with data annotation, quality evaluation, or AI training workflowsBackground in science communication, academic writing, or curriculum developmentFamiliarity with AI tools or machine learning concepts as an end user or researcherPublished research or hands-on fieldwork experience in environmental or climate science 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, task-based scientific workContribute directly to AI that could improve how the world understands and responds to environmental challengesPotential for ongoing work and contract extension as new projects launch

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