Natural Resource Conservation Scientist

Natural Resource Conservation Scientist (AI Training)About The Role Your expertise in ecosystems, land management, and conservation science is more valuable than ever — and not just in the field. We're looking for experienced natural resource and environmental scientists to help shape how AI understands and communicates conservation science. As AI systems take on increasingly complex environmental questions, your real-world knowledge will directly influence the accuracy and quality of their outputs. This is a rare opportunity to contribute to cutting-edge AI research while working fully remotely 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 content for scientific accuracy
• Evaluate whether AI outputs reflect sound, real-world land management and conservation practices
• Assess content covering ecosystems, soil health, water systems, biodiversity, and land use
• Provide structured, expert feedback to improve AI reasoning and scientific quality
• Work independently and asynchronously — on your schedule, at your pace

Who You Are

• 3+ years of professional experience in natural resource conservation or environmental science
• Strong working knowledge of ecosystems, land management principles, and conservation decision-making
• Able to critically evaluate scientific reasoning and applied recommendations in written form
• Clear communicator who can provide detailed, well-organized feedback
• Self-motivated and reliable when working independently

Nice to Have

• Master's degree or PhD in Natural Resources, Environmental Science, or a related field
• Hands-on fieldwork or applied conservation experience
• Familiarity with AI systems, content evaluation, or annotation workflows

Why Join Us

• Make a real impact — your scientific expertise directly improves how AI handles environmental and conservation topics
• Fully remote and flexible — work from anywhere, on a schedule that fits your life
• Meaningful work — contribute to AI systems that touch environmental policy, land management, and conservation globally
• Work with cutting-edge technology — gain exposure to advanced large language models (LLMs) and how they're trained
• Freelance autonomy — enjoy the independence and variety of contract work with a globally collaborative team
• Potential for ongoing work — strong contributors are considered for contract extensions and future projects