Alignerr · 3 hours ago
Natural Resource Conservation Scientist (AI Training)
Alignerr is seeking experienced natural resource conservation scientists to enhance AI systems focused on environmental science and conservation decision-making. The role involves evaluating AI training content, ensuring scientific accuracy, and providing feedback to improve outcomes in conservation practices.
Computer Software
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
Qualification
Required
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
Preferred
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
Benefits
Competitive pay
Flexible remote work
Freelance perks: autonomy, flexibility, and global collaboration
Potential for contract extension
Company
Alignerr
We're looking for experts to help train better AI.
Funding
Current Stage
Early StageCompany data provided by crunchbase