Natural Resource Conservation Scientist
Posted Today by Alignerr
Negotiable
Undetermined
Remote
London, England, United Kingdom
Summary: The role of Natural Resource Conservation Scientist involves evaluating and enhancing AI systems focused on environmental science and conservation decision-making. Candidates will review scientific content, assess AI recommendations, and provide feedback to improve accuracy. The position is remote and offers flexible hours, requiring a commitment of 10-40 hours per week. Ideal candidates will have significant experience in natural resource conservation or environmental science.
Key Responsibilities:
- Review conservation science questions and scenarios used in AI training.
- Evaluate the scientific accuracy of content related to land use, ecosystems, soil, water, and biodiversity.
- Assess whether AI-generated recommendations reflect real-world conservation practices.
- Provide structured feedback to improve scientific reasoning and outputs.
- Work independently and asynchronously to meet project deadlines.
Key Skills:
- 3+ years of professional experience in natural resource conservation or environmental science.
- Strong understanding of ecosystems, land management, and conservation principles.
- Able to clearly evaluate scientific reasoning and applied recommendations.
- Comfortable reviewing structured written content and providing detailed feedback.
- Master’s degree or PhD in Natural Resources, Environmental Science, or related field (nice to have).
- Fieldwork or applied conservation experience (nice to have).
- Familiarity with AI or content evaluation workflows (nice to have).
Salary (Rate): £55.00/hour
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Natural Resource Conservation Scientist (AI Training)
About The Role
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.
Organization: Alignerr (Powered by Labelbox)
Location: Remote
Type: Hourly / Task-based Contract
Compensation: $30-55 /hour
Commitment: 10-40 hours/week
What You’ll Do
- Review conservation science questions and scenarios used in AI training.
- Evaluate the scientific accuracy of content related to land use, ecosystems, soil, water, and biodiversity.
- Assess whether AI-generated recommendations reflect real-world conservation practices.
- Provide structured feedback to improve scientific reasoning and outputs.
- Work independently and asynchronously to meet project deadlines.
Who You Are
- 3+ years of professional experience in natural resource conservation or environmental science.
- Strong understanding of ecosystems, land management, and conservation principles.
- Able to clearly evaluate scientific reasoning and applied recommendations.
- Comfortable reviewing structured written content and providing detailed feedback.
Nice to Have
- Master’s degree or PhD in Natural Resources, Environmental Science, or related field.
- Fieldwork or applied conservation experience.
- Familiarity with AI or content evaluation workflows.
Why Join Us
- Competitive pay and flexible remote work.
- Lead a team working on cutting-edge AI projects.
- Exposure to advanced LLMs and how they’re trained.
- Freelance perks: autonomy, flexibility, and global collaboration.
- Potential for contract extension.
Application Process (Takes 10-15 min)
- Submit your resume
- Complete a short screening
- Project matching and onboarding
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.