Natural Resource Conservation Scientist
Posted Today by Alignerr
Negotiable
Undetermined
Remote
London, England, United Kingdom
Summary: The role of Natural Resource Conservation Scientist involves leveraging scientific expertise to influence AI systems in understanding ecosystems, land management, and conservation. This fully remote position allows for flexible hours, enabling professionals to work independently while contributing to meaningful AI projects. Candidates will review and evaluate AI-generated content related to conservation practices, providing structured feedback to enhance scientific reasoning. The role is designed for individuals with a strong background in natural resource conservation or environmental science.
Key Responsibilities:
- Review conservation science questions and real-world scenarios used to train AI models
- Evaluate the scientific accuracy of AI-generated content covering land use, ecosystems, soil health, water systems, and biodiversity
- Assess whether AI recommendations reflect sound, real-world conservation practices
- Provide clear, structured feedback to improve AI scientific reasoning and outputs
- Work independently and asynchronously on your own schedule
Key Skills:
- 3+ years of professional experience in natural resource conservation, environmental science, or a closely related field
- Strong foundational knowledge of ecosystems, land management, and conservation principles
- Able to critically evaluate scientific reasoning and applied recommendations
- Comfortable reviewing structured written content and delivering detailed, constructive feedback
- Self-motivated and reliable in a remote, asynchronous work environment
- Master's degree or PhD in Natural Resources, Environmental Science, Ecology, or a related discipline (nice to have)
- Hands-on fieldwork or applied conservation experience (nice to have)
- Familiarity with AI systems, content evaluation, or annotation workflows (nice to have)
Salary (Rate): £30.00/hr
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Natural Resource Conservation Scientist (AI Training)
About The Role
We're looking for experienced natural resource conservation scientists to help shape the next generation of AI. Your scientific expertise will directly influence how AI systems understand and reason about ecosystems, land management, biodiversity, and conservation — making a real-world impact from your own home. This is a fully remote, flexible contract role designed to fit around your 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 and real-world scenarios used to train AI models
- Evaluate the scientific accuracy of AI-generated content covering land use, ecosystems, soil health, water systems, and biodiversity
- Assess whether AI recommendations reflect sound, real-world conservation practices
- Provide clear, structured feedback to improve AI scientific reasoning and outputs
- Work independently and asynchronously on your own schedule
Who You Are
- 3+ years of professional experience in natural resource conservation, environmental science, or a closely related field
- Strong foundational knowledge of ecosystems, land management, and conservation principles
- Able to critically evaluate scientific reasoning and applied recommendations
- Comfortable reviewing structured written content and delivering detailed, constructive feedback
- Self-motivated and reliable in a remote, asynchronous work environment
Nice to Have
- Master's degree or PhD in Natural Resources, Environmental Science, Ecology, or a related discipline
- 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 top research labs and AI organizations
- Fully remote and flexible — work when and where it suits you
- Freelance perks: autonomy, variety, and collaboration with a global team
- Contribute to meaningful work that improves how AI handles critical environmental topics
- Potential for ongoing work and contract extension