Natural Resource Conservation Scientist

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.

- 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