Alignerr
Natural Resource Conservation Scientist
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Natural Resource Conservation Scientist (AI Training)
About The Role
We're looking for experienced natural resource conservation scientists to help shape how AI understands environmental science, land management, and conservation decision-making. Your expertise will directly influence the accuracy and reliability of AI systems used by researchers, policymakers, and practitioners worldwide.
This is a fully remote, flexible contract role — work on your own schedule while contributing to cutting-edge AI development.
- Organization: Alignerr (Powered by Labelbox)
- Type: Hourly / Task-based Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Review conservation science questions and real-world scenarios used in AI training datasets
- Evaluate the scientific accuracy of AI-generated content covering land use, ecosystems, soil, water, and biodiversity
- Assess whether AI outputs reflect sound, real-world conservation practices and principles
- Provide clear, structured feedback to improve AI scientific reasoning and recommendations
- Work independently and asynchronously to complete task-based assignments on your own schedule
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Who You Are
- 3+ years of professional experience in natural resource conservation, environmental science, or a closely related field
- Strong foundational knowledge of ecosystems, land management strategies, and conservation principles
- Able to critically evaluate scientific reasoning and applied conservation recommendations
- Comfortable reviewing structured written content and providing detailed, actionable feedback
- Self-motivated and reliable when working independently in a remote environment
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Nice to Have
- Master's degree or PhD in Natural Resources, Environmental Science, Ecology, or a related discipline
- Hands-on fieldwork or applied conservation project experience
- Familiarity with AI systems, content evaluation workflows, or data annotation
Why Join Us
- Work on cutting-edge AI projects that are shaping the future of environmental science applications
- Fully remote and flexible — design your own schedule around your life
- Freelance perks: autonomy, variety, and collaboration with experts across the globe
- Contribute to meaningful work that helps AI get environmental science right
- Potential for ongoing work and contract extension based on performance
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