Remote Conservation Scientist for AI Training

Alignerr Corp.; City of Edinburgh; On-site; GBP 28,000 - 55,000; Part time

Benefits offered by this job

Autonomy

Global collaboration

Flexible schedule

Job summary

Alignerr Corp. seeks experienced natural resource conservation scientists to join an innovative AI training project. You will review conservation science questions and real-world scenarios used in AI training datasets, shaping how AI understands environmental science.

The role requires 3+ years in conservation or environmental science, strong ability to assess reasoning, and to deliver structured feedback. Remote, freelance hours are flexible, with potential for ongoing work.

Qualifications

• 3+ years experience in natural resource conservation or environmental science.
• Strong knowledge of ecosystems, land management, and conservation best practices.
• Ability to evaluate scientific reasoning and provide structured feedback.
• Comfortable reviewing written content and delivering actionable feedback.

Responsibilities

• Review conservation science questions and real-world scenarios used in AI training datasets.
• Evaluate the scientific accuracy of AI-generated content covering ecosystems, soil science, water systems, biodiversity, and land management.
• Assess whether AI outputs reflect sound conservation practices and decision-making.
• Provide structured, detailed feedback to improve AI scientific reasoning.
• Work independently and asynchronously on your schedule.

Skills

Natural resource conservation

Analytical reasoning

Feedback delivery

Remote work

Independent work

Education

Master's or PhD in Natural Resources / Environmental Science

Tools

AI systems familiarity

Job description

Alignerr Corp. seeks experienced natural resource conservation scientists to join an innovative AI training project. You will review conservation science questions and real-world scenarios used in AI training datasets, shaping how AI understands environmental science.

The role requires 3+ years in conservation or environmental science, strong ability to assess reasoning, and to deliver structured feedback. Remote, freelance hours are flexible, with potential for ongoing work.