Natural Resource Conservation Scientist

Alignerr Corp.; United States; Remote; GBP 28,000 - 55,000; Part time

Benefits offered by this job

Autonomy

Flexible schedule

Remote work

Job summary

Alignerr Corp. 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 lets you work on your own schedule while contributing to cutting‑edge AI development. You will review conservation questions, evaluate AI outputs for accuracy across ecosystems and biodiversity, and provide actionable feedback to improve AI reasoning.

Qualifications

• 3+ years of professional experience in natural resource conservation, environmental science, or related field.
• Strong foundational knowledge of ecosystems, land management strategies.
• Able to critically evaluate scientific reasoning and applied conservation recommendations.
• Comfortable reviewing structured written content and providing detailed 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, water, and biodiversity.
• Assess whether AI outputs reflect sound, real-world 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

Natural resource conservation

Environmental science

Critical evaluation

Feedback provision

Remote work

Education

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

Tools

AI content evaluation

Data annotation

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 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, water, and biodiversity
• Assess whether AI outputs reflect sound, real‑world 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

Who You Are

• 3+ years of professional experience in natural resource conservation, environmental science, or a closely related field
• Strong foundational knowledge of ecosystems, land management strategies, and conservation principles
• Able to critically evaluate scientific reasoning and applied conservation recommendations
• Comfortable reviewing structured written content and providing 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 discipline
• Hands‑on fieldwork or applied conservation project experience
• Familiarity with AI systems, content evaluation workflows, or data annotation

Why Join Us

• Work on cutting‑edge AI projects that are shaping the future of environmental science applications
• Fully remote and flexible — design your own schedule around your life
• Freelance perks: autonomy, variety, and collaboration with experts across the globe
• Contribute to meaningful work that helps AI get environmental science right
• Potential for ongoing work and contract extension based on performance