Natural Resource Conservation Scientist

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 these powerful tools reflect accurate, real-world conservation knowledge.

This is a fully remote, flexible contract role where your scientific judgment directly influences the quality of next-generation AI.

• 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 content for scientific accuracy
• Evaluate AI outputs related to land use, ecosystems, soil health, water systems, and biodiversity
• Assess whether AI-generated conservation recommendations reflect sound, real-world practices
• Identify gaps, errors, or misleading reasoning in AI-generated environmental science content
• Provide structured, detailed feedback to improve AI scientific reasoning and outputs
• Work independently and asynchronously to complete task-based assignments on your schedule

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 management
• Able to critically evaluate scientific reasoning and applied recommendations with clarity
• Comfortable reviewing structured written content and providing thorough, constructive feedback
• Self-motivated and reliable when working independently in a remote environment

Nice to Have

• Master's degree or PhD in Natural Resources, Environmental Science, Ecology, or a related field
• 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 real-world environmental impact
• Fully remote and flexible — complete tasks on your own schedule
• Freelance perks: autonomy, variety, and collaboration with a global expert community
• Contribute to work that shapes how AI reasons about conservation and the natural world
• Potential for ongoing work and contract extension