Natural Resource Conservation Scientist

Il y a 6 jours

, France Alignerr Télétravail Temps plein

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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 evaluate and improve AI systems trained on environmental science content — ensuring that the next generation of AI gets conservation right. This is a fully remote, flexible contract role that lets you contribute to cutting-edge AI research on your own schedule. Organization: Alignerr (Powered by Labelbox) Type: Hourly / Task-based Contract 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 health, water systems, and biodiversity Assess whether AI recommendations reflect sound, real-world conservation practices Identify gaps, errors, or misleading reasoning in AI outputs and provide structured, actionable feedback Help improve the scientific rigor and quality of AI-generated environmental content Work independently and asynchronously to complete task-based assignments Who You Are 3+ years of professional experience in natural resource conservation, land management, or environmental science Strong foundational knowledge of ecosystems, conservation principles, and applied land and water management Able to critically evaluate scientific reasoning and identify where AI outputs fall short of professional standards Comfortable working with structured written content and providing detailed, constructive feedback Self-motivated, reliable, and able to meet deadlines without close supervision 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 data annotation platforms Why Join Us Make a real impact — your scientific expertise directly shapes how AI reasons about conservation and the environment Fully remote and flexible — work from anywhere, on a schedule that suits you Cutting-edge AI work — gain exposure to advanced large language models (LLMs) and how they're trained and evaluated Autonomy and variety — task-based work across a range of environmental science topics Global collaboration — work alongside a diverse network of subject matter experts Potential for ongoing work — strong contributors are considered for contract extensions and expanded projects