Remote Natural Resource Conservation Scientist for AI Systems

Alignerr is seeking a Remote Natural Resource Conservation Scientist to enhance AI training for environmental science. The role involves reviewing conservation-related scenarios for accuracy in ecosystems and providing structured feedback. Candidates should have over 3 years of experience in natural resource conservation and the ability to evaluate scientific reasoning. This is a contract position that allows for independent work from anywhere.
Harness your expertise as a Natural Resource Conservation Scientist to enhance AI training for environmental science. Evaluate content for accuracy in ecosystems, biodiversity, and more in a remote capacity.
This contract role is ideal for experienced professionals with over 3 years in natural resource conservation. You will review conservation-related AI training scenarios, ensuring scientific accuracy in land use, soil, and water management. Your structured feedback will drive better scientific reasoning and more accurate outputs from AI systems.
Key Responsibilities:
• Review conservation science scenarios for AI training
• Assess scientific accuracy in land use and ecosystems
• Evaluate AI-generated conservation recommendations
• Provide detailed feedback for improvement
• Work independently to meet deadlines
Requirements:
• 3+ years in natural resource conservation or environmental science
• Strong understanding of conservation principles
• Ability to evaluate scientific reasoning clearly
• Experience with structured content review
• Familiarity with AI evaluation workflows preferred
Leverage your conservation expertise to improve AI outputs and contribute to innovative projects in a flexible, remote role.
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