Natural Resource Conservation Scientist

Alignerr; Dublin; Remote; EUR 34,000 - 83,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Freelance/contract work

Job summary

Alignerr Corp. seeks a Natural Resource Conservation Scientist (AI Training) to help shape how AI interprets environmental science and land management.

This fully remote, hourly contract role offers flexible scheduling and 10–40 hours per week, with a focus on real-world conservation expertise. The role involves reviewing AI training content, evaluating scientific accuracy, and providing actionable feedback to improve AI reasoning.

Qualifications

• 3+ years of professional experience in natural resource conservation, environmental science, or a related discipline.
• Strong foundational knowledge of ecosystems, land management principles, and conservation science.
• Able to critically evaluate scientific reasoning and applied conservation recommendations.
• Comfortable reviewing structured written content and delivering detailed, actionable feedback.
• Self-motivated and reliable when working independently in a remote environment.

Responsibilities

• Review conservation science questions and real-world scenarios used in AI training datasets.
• Evaluate the scientific accuracy of AI-generated content covering land use, ecosystems, soil science, hydrology, and biodiversity.
• Assess whether AI-generated conservation recommendations reflect sound, real-world practices.
• Provide clear, structured feedback to improve AI scientific reasoning and outputs.
• Work independently and asynchronously to meet project deadlines on your own schedule.

Skills

Conservation science

Environmental science

Critical evaluation

Scientific writing

Remote work

Education

Master's degree or PhD in Natural Resources/Environmental Science/Ecology

Hands-on fieldwork or applied conservation project experience

Job description

Natural Resource Conservation Scientist (AI Training)

About The Role

We're looking for experienced natural resource conservation scientists to help shape how AI understands environmental science, land management, and conservation decision-making. Your real-world expertise will directly influence the accuracy and reliability of AI systems used by researchers, policymakers, and practitioners worldwide.

This is a fully remote, flexible contract role — work on your own schedule while contributing to cutting-edge AI development.

• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly / Task-based Contract
• Location: 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 land use, ecosystems, soil science, hydrology, and biodiversity
• Assess whether AI-generated conservation recommendations reflect sound, real-world practices
• Provide clear, structured feedback to improve AI scientific reasoning and outputs
• Work independently and asynchronously to meet project deadlines on your own schedule

Who You Are

• 3+ years of professional experience in natural resource conservation, environmental science, or a related discipline
• Strong foundational knowledge of ecosystems, land management principles, and conservation science
• Able to critically evaluate scientific reasoning and applied conservation recommendations
• Comfortable reviewing structured written content and delivering detailed, actionable feedback
• Self-motivated and reliable when working independently in a remote environment

Nice to Have

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

Why Join Us

• Work on cutting-edge AI projects with top research labs and make a tangible impact on how AI handles environmental science
• Fully remote and flexible — design your own schedule and work from anywhere
• Freelance perks: autonomy, variety, and collaboration with a global team of experts
• Contribute to meaningful work that helps AI better serve the conservation and environmental science community
• Potential for ongoing work and contract extension