Natural Resource Conservation Scientist
Alignerr
Natural Resource Conservation Scientist (AI Training)
About The Role
Your fieldwork, research, and conservation expertise can do more than protect ecosystems - it can help shape how AI understands the natural world. We're looking for experienced natural resource conservation scientists to evaluate and improve AI systems trained on environmental science, land management, and conservation decision-making.
This is a fully remote, flexible contract role where your scientific knowledge directly influences the accuracy and reliability of next-generation AI tools used across environmental and conservation contexts.
- 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 to train AI systems
- Evaluate the scientific accuracy of AI-generated content covering land use, ecosystems, soil health, water systems, and biodiversity
- Assess whether AI outputs reflect sound, real-world conservation practices and principles
- Provide clear, structured feedback to improve AI reasoning and scientific outputs
- Work independently and asynchronously - on your own schedule, at your own pace
Who You Are
- 3+ years of professional experience in natural resource conservation, land management, or environmental science
- Strong foundational knowledge of ecosystems, conservation principles, and applied land management
- Able to critically evaluate scientific reasoning and identify gaps or inaccuracies in applied recommendations
- Comfortable reviewing structured written content and delivering detailed, constructive feedback
- Self-motivated and reliable when working independently on task-based assignments
Nice to Have
- Master's degree or PhD in Natural Resources, Environmental Science, Ecology, or a related field
- 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 with direct impact on how AI handles environmental science
- Fully remote and flexible - complete work on your own schedule
- Freelance perks: autonomy, variety, and collaboration with a global community of subject-matter experts
- Contribute to meaningful work that helps AI get conservation science right
- Potential for ongoing work and contract extension
Vacancy posted 20 hours ago
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