Natural Resource Conservation Scientist

Alignerr is seeking a Natural Resource Conservation Scientist for a remote, flexible contract role. The position involves reviewing and evaluating AI training datasets related to conservation science, ensuring scientific accuracy, and providing feedback. Candidates should have over 3 years of experience in natural resource conservation or related fields. This role offers the freedom to work independently and asynchronously, with a commitment of 10–40 hours per week.
Natural Resource Conservation Scientist (AI Training)


About The Role
What if your expertise in ecosystems, land management, and conservation could help shape how AI understands and communicates environmental science?


We're looking for experienced natural resource conservation scientists to join a cutting-edge AI training project. Your scientific knowledge will directly influence how AI systems reason about conservation challenges — from biodiversity and soil health to water systems and land use decision-making. This is a fully remote, flexible contract role that fits around your 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, scenarios, and case studies used in AI training datasets


Evaluate the scientific accuracy of AI-generated content covering land use, ecosystems, soil, water, and biodiversity


Assess whether AI-generated recommendations align with real-world conservation practices and standards


Provide clear, structured feedback to improve the scientific reasoning and quality of AI outputs


Work independently and asynchronously to complete task-based assignments on your own 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 frameworks


Able to critically evaluate scientific reasoning and applied recommendations with precision


Comfortable reviewing structured written content and delivering detailed, actionable feedback


Self-motivated and reliable in a remote, independent work environment



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






Work on the frontier of AI — contribute to projects with top AI research labs and directly influence how AI handles complex environmental topics


Fully remote and flexible — work from anywhere, on your own schedule, with no fixed hours


Freelance autonomy — task-based work that respects your time and expertise


Meaningful impact — your conservation knowledge helps ensure AI gives accurate, responsible guidance on real environmental issues


Global collaboration — work alongside a diverse community of subject-matter experts from around the world


Potential for ongoing work — high-performing contributors are considered for contract extensions and new projects