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 real-world 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 science, hydrology, and biodiversity
- Assess whether AI-generated conservation recommendations reflect sound, real-world practices
- Provide clear, structured feedback to improve AI scientific reasoning and outputs
- Work independently and asynchronously to meet project deadlines on your own schedule
Who You Are
- 3+ years of professional experience in natural resource conservation, environmental science, or a related discipline
- Strong foundational knowledge of ecosystems, land management principles, and conservation science
- 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 in a remote environment
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 scientific writing
Why Join Us
- Work on cutting-edge AI projects with top research labs and make a tangible impact on how AI handles environmental science
- Fully remote and flexible — design your own schedule and work from anywhere
- Freelance perks: autonomy, variety, and collaboration with a global team of experts
- Contribute to meaningful work that helps AI better serve the conservation and environmental science community
- Potential for ongoing work and contract extension