Natural Resource Conservation Scientist (AI Training)
About The Role
Your expertise in natural resource conservation doesn't just belong in the field — it belongs at the frontier of AI development. We're looking for experienced conservation scientists to help 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 shapes how AI understands and communicates critical environmental topics. If you care about the accuracy of conservation science and want to contribute to cutting-edge technology, this is your opportunity.
- 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 ecosystems, land use, soil health, water systems, and biodiversity
- Assess whether AI recommendations align with established, real-world conservation practices
- Provide clear, structured feedback that improves AI scientific reasoning and output quality
- Work independently and asynchronously — on your own schedule, at your own pace
Who You Are
- 3+ years of professional experience in natural resource conservation, environmental science, or a related field
- Strong working knowledge of ecosystems, land management principles, and conservation practices
- Able to critically evaluate scientific reasoning and applied recommendations with clarity and precision
- Comfortable reviewing structured written content and providing detailed, actionable feedback
- Self-motivated and reliable with the ability to meet project deadlines independently
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, or data annotation workflows
Why Join Us
- Make a real impact — your scientific expertise directly improves how AI handles environmental and conservation topics
- Work on cutting-edge AI projects with top research organizations pushing the boundaries of what AI can do
- Fully remote and flexible — set your own hours and work from wherever you are
- Freelance perks — autonomy, variety, and the opportunity to collaborate with a global network of subject matter experts
- Potential for ongoing work — strong contributors are considered for contract extensions and additional projects
