Natural Resource Conservation Scientist

Alignerr; 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

Natural Resource Conservation Scientist (AI Training)

About The Role

What if your expertise in ecosystems, land management, and conservation could help shape how AI understands and communicates environmental science? We're looking for experienced natural resource conservation scientists to join a cutting-edge AI training project. Your knowledge will directly influence how AI systems reason about conservation challenges — from biodiversity assessments to land use decisions — making a real-world impact from wherever you work.

• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly Contract
• Location: Fully Remote
• Commitment: 10–40 hours/week

What You'll Do

• 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, real-world conservation practices and decision-making
• Provide structured, detailed feedback to improve the quality of AI scientific reasoning
• Work independently and asynchronously — on your schedule, at your pace

Who You Are

• 3+ years of professional experience in natural resource conservation, environmental science, or a closely related field
• Strong working knowledge of ecosystems, land management principles, and conservation best practices
• Able to critically evaluate scientific reasoning and applied recommendations with clarity and precision
• Comfortable reviewing structured written content and delivering actionable, well-organized feedback
• Self-motivated and reliable when working independently in a remote setting

Nice to Have

• Master's degree or PhD in Natural Resources, Environmental Science, Ecology, or a related discipline
• Hands-on fieldwork or applied conservation project experience
• Familiarity with AI systems, content evaluation workflows, or data annotation platforms

Why Join Us

• Work on cutting-edge AI projects with leading research labs and technology organizations
• Fully remote and flexible — design your own schedule around your life
• Freelance perks: autonomy, variety, and collaboration with experts around the world
• Contribute to meaningful work that improves how AI handles real environmental and conservation challenges
• Potential for ongoing work and contract extension based on performance