Climate Data Specialist

Vancouver, British Columbia, Canada
Remote
Posted Oct 8, 2026
1 position

US$75–US$90 / hour

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Employment type: Contract
Experience level: Senior · 5+ years
Minimum education: Master’s degree
Posting language: English
Working hours: 40 hours per week
Location requirements: Country, Vancouver, British Columbia, Canada
Seniority: Mid-Senior level

Job summary

Design, solve, and review advanced environmental science problems, applying expertise in climate modeling, ecology, sustainability, or related fields. Evaluate AI-generated scientific reasoning for accuracy, rigor, and clarity, and collaborate with researchers and domain experts to ensure high-quality deliverables.

Job details

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: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Design, solve, and review advanced environmental science problems with real-world relevance and scientific depth Apply your expertise in climate modeling, ecology, sustainability, or related fields to construct complex, meaningful problem statements Evaluate AI-generated scientific reasoning for accuracy, rigor, and clarity Collaborate asynchronously with AI researchers and fellow domain experts to push the boundaries of what AI can understand in your field Ensure 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 field Deep expertise in at least one of: climate modeling, ecology, environmental sustainability, or earth systems science Proficient in Python or R for research or data analysis Exceptionally strong written communicator — you can explain complex science clearly and precisely Detail-oriented, rigorous, and self-directed when working independently Fluent in English Nice to Have Prior experience with data annotation, data quality evaluation, or AI training workflows Background in scientific writing, peer review, or curriculum development Familiarity with AI tools or language model evaluation as an end user Experience communicating complex environmental science to interdisciplinary audiences Why Join Us Work on cutting-edge AI projects alongside leading AI research labs Fully remote and flexible — work when and where it suits you Freelance autonomy with the structure of meaningful, intellectually stimulating work Apply your scientific expertise to a domain where it creates lasting, real-world impact Potential for ongoing work and contract extension as new projects launch

What you’ll do

Requirements

A master's or PhD in environmental science, climate science, ecology, or a closely related field is required, along with deep expertise in at least one relevant environmental science area. Candidates should be proficient in Python or R, communicate complex science clearly in English, and work independently with rigor and attention to detail.