Natural Resource Conservation Scientist (AI Training)
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 structured feedback to improve outputs. This position is remote and offers flexible hours, requiring a commitment of 10-40 hours per week. Ideal candidates will have a strong background 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
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.