Natural Resource Conservation Scientist

Alignerr is seeking a Natural Resource Conservation Scientist to evaluate and improve AI systems related to environmental science and conservation. The role involves reviewing conservation questions, assessing AI-generated content, and providing structured feedback. Candidates should have over 3 years of experience in conservation or related fields. This is a fully remote, flexible position with a commitment of 10–40 hours per week, offering $30–55 per hour.
Natural Resource Conservation Scientist (AI Training)

About The Role

AI is increasingly being used to inform environmental decisions — and it needs to get things right. We're looking for experienced natural resource conservation scientists to help 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, responds to conservation challenges, and communicates scientific recommendations. This is a rare opportunity to influence the future of AI from a domain that genuinely matters.

Organization: Alignerr (Powered by Labelbox)Type: Hourly / Task-based ContractLocation: Fully RemoteCommitment: 10–40 hours/week

What You'll Do

Review conservation science questions and real-world scenarios used in AI trainingEvaluate the scientific accuracy of AI-generated content related to land use, ecosystems, soil, water, and biodiversityAssess whether AI recommendations reflect credible, real-world conservation practicesProvide clear, structured feedback to improve AI scientific reasoning and outputsWork independently and asynchronously on your own schedule

Who You Are

3+ years of professional experience in natural resource conservation, land management, or environmental scienceStrong working knowledge of ecosystems, conservation principles, and applied land managementAble to critically evaluate scientific reasoning and applied recommendations with clarityComfortable reviewing structured written content and delivering detailed, actionable feedbackSelf-motivated and reliable in a remote, asynchronous work environment

Nice to Have

Master's degree or PhD in Natural Resources, Environmental Science, Ecology, or a related fieldHands-on fieldwork or applied conservation project experienceFamiliarity with AI systems or content evaluation workflows

Why Join Us

Work on cutting-edge AI projects with real-world environmental impactFully remote and flexible — work when and where it suits youFreelance perks: autonomy, variety, and collaboration with experts across the globeContribute to meaningful work that helps AI get environmental science rightPotential for ongoing work and contract extension