Remote Conservation Scientist for AI Training

Alignerr; United States; Remote; GBP 30,000 - 76,000; Part time

Benefits offered by this job

Autonomy

Global collaboration

Flexible schedule

Job summary

Alignerr is seeking experienced natural resource conservation scientists to shape how AI understands environmental science, land management, and conservation decision-making. This fully remote, flexible contract role offers you the chance to contribute to cutting-edge AI development on your own schedule.

You will review real-world scenarios, evaluate AI-generated content for accuracy across ecosystems, soil, water and biodiversity, and provide structured feedback to improve AI scientific

Qualifications

• 3+ years of professional experience in natural resource conservation, environmental science, or a closely related field.
• Foundational knowledge of ecosystems, land management strategies, and conservation principles.
• Ability to critically evaluate scientific reasoning and applied conservation recommendations.
• Ability to review structured content and provide detailed feedback.
• Self-motivated and reliable for remote independent work.

Responsibilities

• Review conservation science questions and real-world scenarios used in AI training datasets
• Evaluate scientific accuracy of AI-generated content on land use, ecosystems, soil, water, and biodiversity
• Assess whether AI outputs reflect sound conservation practices and principles
• Provide clear, structured feedback to improve AI scientific reasoning and recommendations
• Work independently and asynchronously to complete task-based assignments on your own schedule

Skills

Conservation experience

Ecosystems knowledge

Critical thinking

Technical writing

Education

Masters in Natural Resources

PhD in Environmental Science

Job description

Alignerr is seeking experienced natural resource conservation scientists to shape how AI understands environmental science, land management, and conservation decision-making. This fully remote, flexible contract role offers you the chance to contribute to cutting-edge AI development on your own schedule.

You will review real-world scenarios, evaluate AI-generated content for accuracy across ecosystems, soil, water and biodiversity, and provide structured feedback to improve AI scientific