Natural Resource Conservation Scientist (AI Training) About The Role AI is being trained to reason about ecosystems, land management, and conservation — and it needs real experts to get it right. We're looking for experienced natural resource conservation scientists to evaluate and improve AI systems working in environmental science and conservation decision-making. Your field knowledge will directly shape how AI understands complex environmental challenges, making this an opportunity to extend your conservation impact far beyond traditional roles.

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 scenarios and questions used to train AI systems

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

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

Identify gaps, errors, or misleading reasoning in AI outputs

Provide clear, structured feedback that improves AI scientific reasoning

Work independently and asynchronously on your own schedule Who You Are 3+ years of professional experience in natural resource conservation,



land management, or environmental science

Strong working knowledge of ecosystems, conservation principles, and applied land management

Able to critically evaluate scientific reasoning and identify when recommendations miss the mark

Comfortable reviewing structured written content and translating expert judgment into actionable feedback

Self-motivated and reliable — you can manage your own workload and meet deadlines independently 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 technical writing Why Join Us Work on cutting-edge AI projects shaping how the world's most advanced models understand environmental science

Fully remote and adaptable — complete tasks on your own schedule from anywhere

Freelance perks: autonomy, variety, and collaboration with a global community of subject matter experts

Make a meaningful impact by ensuring AI gets conservation science right

Potential for ongoing work and contract extension as projects grow

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