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 the natural world? We're looking for experienced natural resource conservation scientists to join a cutting-edge AI training project — evaluating and improving how AI systems reason about environmental science, conservation policy, and land stewardship. Your real-world knowledge will directly influence the quality and accuracy of AI used by researchers, policymakers, and practitioners around the globe.

Organization: Alignerr (Powered by Labelbox)

Type: Hourly / Task-based Contract

Location: Fully Remote

Commitment: 10–40 hours/week What You'll Do Review conservation science questions, case studies, and scenarios used in AI training datasets

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

Assess whether AI recommendations reflect real-world conservation practices and current scientific understanding

Provide clear, structured feedback to improve AI reasoning, depth, and reliability

Work independently and asynchronously — on your own schedule, at your own pace Who You Are 3+ years of skilled experience in natural resource conservation, environmental science, or a closely related field





Strong working knowledge of ecosystems, land management principles, and conservation decision-making

Able to critically evaluate scientific reasoning and applied recommendations with confidence

Comfortable reviewing structured written content and providing detailed, actionable feedback

Self-motivated and reliable when working independently on remote, asynchronous tasks 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 workflows, or data annotation platforms Why Join Us Work on the frontier of AI — contribute to projects with real impact on how AI understands our natural world

Fully remote and flexible — work from anywhere, on your own schedule

Autonomy and variety — no two projects are exactly alike; your expertise guides the work

Global collaboration — connect with a diverse network of subject matter experts worldwide

Potential for ongoing work — strong contributors are considered for contract extensions and future projects

Meaningful contribution — help ensure AI gets environmental science right, at a time when it matters most

📌 Natural Resource Conservation Scientist (Mumbai)
🏢 Alignerr
📍 Mumbai