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About this role
Natural Resource Conservation Scientist (AI Training)
About the Role
We're looking for experienced natural resource conservation scientists to help shape how AI understands environmental science, land management, and conservation decision-making. Your field knowledge and scientific expertise will directly influence the accuracy and reliability of AI systems tackling some of the most important environmental challenges of our time.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: Flexible, asynchronous
What You'll Do
- Review and evaluate conservation science questions and scenarios used in AI training datasets
- Assess the scientific accuracy of AI-generated content covering land use, ecosystems, soil, water, and biodiversity
- Determine whether AI-generated recommendations reflect real-world conservation practices and sound scientific reasoning
- Provide clear, structured feedback to improve the quality and reliability of AI outputs
- Work independently and asynchronously to meet project milestones 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 stewardship
- Able to critically evaluate scientific reasoning and practical recommendations with clarity and precision
- Comfortable reviewing structured written content and delivering detailed, actionable feedback
- Self-motivated and reliable with the ability to manage your own workload remotely
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 data annotation
Why Join Us
- Work on cutting-edge AI projects with top research labs making a real environmental impact
- Fully remote and flexible — contribute on your own schedule from anywhere
- Freelance perks: autonomy, variety, and collaboration with a global expert community
- Leverage your conservation expertise in an innovative, technology-forward context
- Potential for ongoing work and contract extension
About Alignerr
A legitimate, well-funded platform (built by Labelbox) with strong rates for experts. The real catch is availability — per-approved-task pay and quiet stretches between projects.
Trust score 7.6/10Read our Alignerr review →
Next steps
AITrainerGigs aggregates this listing from Alignerr.