Natural Resource Conservation Scientist (AI Training)
About The Role
AI is increasingly being used to inform environmental decision-making — 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 topics.
Your scientific expertise will directly shape how AI understands and communicates complex conservation challenges — from ecosystem management to biodiversity protection. This is a rare opportunity to apply your field knowledge in a cutting-edge AI context, fully remote and on your own schedule.
Organization: Alignerr (Powered by Labelbox)
Type: Hourly / Task-based Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Review conservation science questions, scenarios, and AI-generated recommendations for scientific accuracy
Evaluate content covering land use, ecosystems, soil health, water systems, and biodiversity
Assess whether AI outputs reflect real-world conservation practices and sound scientific reasoning
Provide clear, structured feedback to improve the quality and reliability of AI-generated content
Work independently and asynchronously — on your schedule, at your pace
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 science
Able to critically evaluate scientific reasoning and assess the accuracy of applied recommendations
Detail-oriented with strong written communication skills
Self-motivated and comfortable working independently on remote, task-based projects
Nice to Have
Master's degree or PhD in Natural Resources, Environmental Science, or a related discipline
Hands-on fieldwork or applied conservation experience
Familiarity with AI systems, content evaluation, or annotation workflows
Why Join Us
Work on cutting-edge AI projects with top research labs
Fully remote and flexible — work on your own schedule
Freelance perks: autonomy, variety, and global collaboration
Contribute to meaningful work that helps AI get environmental science right
Potential for ongoing work and contract extension