Natural Resource Conservation Scientist
alignerrDallas (TX)
Natural Resource Conservation Scientist
Posted 4 days ago
alignerrDallas (TX)
SENIORITY
Senior
About the role
Natural Resource Conservation Scientist (AI Training) AI is rapidly expanding into environmental science — and it needs experts like you to get it right. We're looking for experienced natural resource conservation scientists to help evaluate and improve AI systems trained on conservation science, land management, and environmental decision-making.
Your real-world expertise will directly shape how AI understands ecosystems, interprets land use data, and recommends conservation strategies — making a meaningful impact on how this technology serves the planet.
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 scenarios used in AI training datasets
Evaluate the scientific accuracy of AI-generated content covering land use, ecosystems, soil, water, and biodiversity
Assess whether AI recommendations reflect real-world conservation practices and sound scientific reasoning
Identify gaps, errors, or misleading outputs and provide structured, detailed feedback
Work independently and asynchronously on your own schedule
Who You Are:
3+ years of professional experience in natural resource conservation or environmental science
Strong working knowledge of ecosystems, land management principles, and conservation frameworks
Able to critically evaluate scientific reasoning and applied recommendations
Comfortable reviewing structured written content and providing clear, detailed 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, or a related field
Hands‑on fieldwork or applied conservation experience
Familiarity with AI systems or content evaluation workflows
Why Join Us:
Work on cutting‑edge AI projects that intersect environmental science and emerging technology
Fully remote and flexible — work on your own schedule, from anywhere
Freelance perks: autonomy, variety, and collaboration with a global network of experts
Contribute to work that helps AI handle environmental topics more accurately and responsibly
Potential for ongoing work and contract extension
Before you apply
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A number in mind
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Your notice period
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