Natural Resource Conservation Scientist (AI Training)
About The Role
AI is rapidly expanding into environmental science — and it needs experts like you to get it right. 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.
Your field knowledge will directly shape how AI understands ecosystems, interprets conservation data, and recommends land management strategies. This is a unique opportunity to influence cutting-edge AI development while working fully remotely on your own schedule.
- 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 related to land use, ecosystems, soil health, water systems, and biodiversity
- Assess whether AI-generated recommendations reflect sound, real-world conservation practices
- Provide clear, structured feedback to improve scientific reasoning and AI outputs
- Work independently and asynchronously to complete task-based assignments on your schedule
Who You Are
- 3+ years of professional experience in natural resource conservation, environmental science, or a closely related field
- Strong working knowledge of ecosystems, land management principles, and conservation practices
- Able to critically evaluate scientific reasoning and applied conservation recommendations
- Comfortable reviewing structured written content and delivering detailed, actionable feedback
- Self-motivated and reliable when working 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 experience
- Familiarity with AI systems, content evaluation workflows, or scientific writing
Why Join Us
- Work on cutting-edge AI projects with real environmental impact
- Fully remote and flexible — complete work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to AI that gets environmental science right
- Potential for ongoing work and contract extension
