Remote Conservation Scientist for AI Training

Alignerr Corp.; City of Edinburgh; Remote; GBP 34,000 - 69,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Freelance project work

Job summary

Alignerr Corp. is seeking experienced Natural Resource Conservation Scientists to contribute to a cutting-edge AI training project. You will review conservation science questions and AI-generated content, ensuring accuracy across ecosystems, soil science, water systems, biodiversity, and land management.

This remote, hourly-contract role offers flexible scheduling and global collaboration. With 3+ years in conservation or environmental science, you will provide structured, detailed feedback to

Qualifications

• 3+ years of professional experience in natural resource conservation or closely related field.
• Strong working knowledge of ecosystems, land management principles, and conservation best practices.
• Ability to critically evaluate scientific reasoning and applied recommendations with clarity and precision.

Responsibilities

• Review conservation science questions and scenarios used in AI training datasets.
• Evaluate the scientific accuracy of AI-generated content across ecosystems, soil science, water systems, biodiversity, and land management.
• Assess whether AI outputs reflect sound conservation practices and decision-making.

Skills

Natural resource conservation

Ecosystems

Environmental science

Critical thinking

Feedback delivery

Education

Master's or PhD in Natural Resources

Tools

AI systems familiarity

Data annotation platforms

Job description

Alignerr Corp. is seeking experienced Natural Resource Conservation Scientists to contribute to a cutting-edge AI training project. You will review conservation science questions and AI-generated content, ensuring accuracy across ecosystems, soil science, water systems, biodiversity, and land management.

This remote, hourly-contract role offers flexible scheduling and global collaboration. With 3+ years in conservation or environmental science, you will provide structured, detailed feedback to