Natural Resource Conservation Scientist

Há 2 dias

Brasil Alignerr Remoto Tempo integral
Natural Resource Conservation Scientist (AI Training)

About The Role
What if your field expertise could influence how the next generation of AI understands our natural world? 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 real-world knowledge will directly shape how AI reasons about ecosystems, biodiversity, and conservation — making a lasting impact that goes far beyond the field.
• 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 and real-world scenarios used in AI training datasets
• Evaluate the scientific accuracy of AI-generated content covering land use, ecosystems, soil, water, and biodiversity
• Assess whether AI recommendations reflect sound, real-world conservation practices
• Provide clear, structured feedback to improve AI scientific reasoning and outputs
• Work independently and asynchronously — 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 clarity
• Comfortable reviewing structured written content and delivering detailed, actionable feedback
• Self-motivated and reliable — you can manage your own time and meet deadlines 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 annotation workflows Why Join Us
• Work on cutting-edge AI — contribute to some of the most advanced language models being developed today
• Fully remote and flexible — work from anywhere, on a schedule that fits your life
• Freelance autonomy — no micromanagement, just meaningful, focused work
• Global collaboration — connect with a diverse community of subject matter experts worldwide
• Make a real impact — your expertise helps ensure AI gets environmental science right
• Potential for ongoing work and contract extension as new projects launch