Natural Resource Conservation Scientist

Alignerr

Natural Resource Conservation Scientist (AI Training)

About the Role

What if your scientific expertise could help shape how AI understands the natural world? We're looking for experienced natural resource conservation scientists to evaluate and improve AI systems trained on environmental science, land management, and conservation decision-making.

Your field knowledge will directly influence how the next generation of AI tools reasons about ecosystems, soil health, biodiversity, and sustainable land use - work that matters far beyond the screen.

Organization
: Alignerr (Powered by Labelbox)
Type
: Hourly / Task-Based Contract
Location
: Fully Remote
Commitment
: 10-40 hours/week

What You'll Do

Review conservation science questions and real-world scenarios used in AI training datasets
Evaluate the scientific accuracy of AI-generated content covering land use, ecosystems, soil science, hydrology, and biodiversity
Assess whether AI recommendations reflect current, real-world conservation practices and standards
Provide structured, expert feedback to improve the quality of AI scientific reasoning and outputs
Work independently and asynchronously - on your schedule, from anywhere

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 management practices
Able to critically evaluate scientific reasoning, identify errors, and articulate clear improvements
Comfortable reviewing structured written content and delivering detailed, constructive feedback
Self-motivated and reliable when working independently on task-based projects

Nice to Have

Master's degree or PhD in Natural Resources, Environmental Science, Ecology, or a related field
Hands-on fieldwork or applied conservation experience
Familiarity with AI systems, content evaluation, or data annotation workflows

Why Join Us

Meaningful impact
- your expertise helps AI get environmental science right, at scale
Fully remote and flexible
- work on your own schedule, from anywhere in the world
Cutting-edge exposure
- gain firsthand experience with how advanced AI models are trained and improved
Freelance autonomy
- no micromanagement, no rigid hours, just impactful work on your terms
Global collaboration
- contribute alongside a diverse network of subject matter experts
Potential for ongoing work
- strong contributors are considered for contract extensions and new projects

Apply

Vacancy posted 4 days ago

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