Natural Resource Conservation Scientist
Alignerr
Natural Resource Conservation Scientist (AI Training) About The Role
Your field expertise has real value beyond the field — and AI needs it now. We're looking for experienced natural resource conservation scientists to help evaluate and improve AI systems trained on environmental science, land management, and conservation decision-making.
This is a fully remote, flexible contract role where your scientific knowledge directly shapes how AI understands and communicates complex conservation topics. If you care about getting environmental science right , this is your opportunity to make an impact at the frontier of AI development.
- 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 and real-world scenarios 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 sound, real-world conservation practices
- Provide clear, structured feedback to improve scientific reasoning and AI outputs
- 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 frameworks
- Able to critically evaluate scientific reasoning and applied recommendations with clarity
- Comfortable reviewing structured written content and providing detailed, actionable feedback
- Self-motivated and reliable when working independently on deadline-driven tasks
Nice to Have
- Master's degree or PhD in Natural Resources, Environmental Science, or a related discipline
- Hands-on fieldwork or applied conservation project experience
- Familiarity with AI systems, content evaluation workflows, or scientific writing
Why Join Us
- Meaningful work — your expertise helps ensure AI gets environmental science right
- Fully remote and flexible — work from anywhere, on a schedule that suits you
- Cutting-edge exposure — gain insight into how advanced AI language models are trained and evaluated
- Autonomy — task-based structure gives you control over your workload
- Global collaboration — connect with a network of subject matter experts across disciplines
- Potential for ongoing work — strong contributors are considered for contract extensions and new projects
Vacancy posted 3 days ago
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