About the Role
AI is being trained to reason about ecosystems, land management, and conservation — and it needs real experts to get it right. We're looking for experienced natural resource conservation scientists to evaluate and improve AI systems working in environmental science and conservation decision-making.
Your field knowledge will directly shape how AI understands complex environmental challenges, making this an opportunity to extend your conservation impact far beyond traditional roles.
- 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 scenarios and questions used to train AI systems
- Evaluate the scientific accuracy of AI-generated content covering land use, ecosystems, soil, water, and biodiversity
- Assess whether AI recommendations reflect real-world conservation practices and current scientific understanding
- Identify gaps, errors, or misleading reasoning in AI outputs
- Provide clear, structured feedback that improves AI scientific reasoning
- Work independently and asynchronously on your own schedule
Who You Are
- 3+ years of professional experience in natural resource conservation, land management, or environmental science
- Strong working knowledge of ecosystems, conservation principles, and applied land management
- Able to critically evaluate scientific reasoning and identify when recommendations miss the mark
- Comfortable reviewing structured written content and translating expert judgment into actionable feedback
- Self-motivated and reliable — you can manage your own workload and meet deadlines independently
Nice to Have
- Master's degree or PhD in Natural Resources, Environmental Science, Ecology, or a related field
- Hands-on fieldwork or applied conservation project experience
- Familiarity with AI systems, content evaluation workflows, or technical writing
Why Join Us
- Work on cutting-edge AI projects shaping how the world's most advanced models understand environmental science
- Fully remote and flexible — complete tasks on your own schedule from anywhere
- Freelance perks: autonomy, variety, and collaboration with a global community of subject matter experts
- Make a meaningful impact by ensuring AI gets conservation science right
- Potential for ongoing work and contract extension as projects grow