Natural Resource Conservation Scientist

Alignerr; Denver (CO); Remote; USD 55,000 - 96,000; Full time

Job summary

Alignerr is seeking experienced natural resource conservation scientists to evaluate and improve AI systems trained on environmental science, land management, and conservation topics. This fully remote, hourly contract role offers 10–40 hours per week and flexible scheduling to contribute to AI content quality and scientific integrity.

You will review AI-generated recommendations for accuracy, assess land-use and biodiversity topics, and provide structured feedback to ensure sound conservation

Qualifications

• 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 science.
• Ability to critically evaluate scientific reasoning and assess the accuracy of applied recommendations.
• Detail-oriented with strong written communication skills.
• Self-motivated and comfortable working independently on remote, task-based projects.

Responsibilities

• Review conservation science questions, scenarios, and AI-generated recommendations for scientific accuracy.
• Evaluate content covering land use, ecosystems, soil health, water systems, and biodiversity.
• Assess whether AI outputs reflect real-world conservation practices and sound scientific reasoning.
• Provide clear, structured feedback to improve the quality and reliability of AI-generated content.
• Work independently and asynchronously — on your schedule, at your pace.

Skills

Environmental science

Ecosystems knowledge

Scientific reasoning evaluation

Written communication

Education

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

Job description

Natural Resource Conservation Scientist (AI Training)

About The Role

AI is increasingly being used to inform environmental decision-making — and it needs to get things right. We're looking for experienced natural resource conservation scientists to help evaluate and improve AI systems trained on environmental science, land management, and conservation topics. Your scientific expertise will directly shape how AI understands and communicates complex conservation challenges — from ecosystem management to biodiversity protection. This is a rare opportunity to apply your field knowledge in a cutting-edge AI context, fully remote and on your own schedule.

• 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, scenarios, and AI-generated recommendations for scientific accuracy
• Evaluate content covering land use, ecosystems, soil health, water systems, and biodiversity
• Assess whether AI outputs reflect real-world conservation practices and sound scientific reasoning
• Provide clear, structured feedback to improve the quality and reliability of AI-generated content
• 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 science
• Able to critically evaluate scientific reasoning and assess the accuracy of applied recommendations
• Detail-oriented with strong written communication skills
• Self-motivated and comfortable working independently on remote, task-based projects

Nice to Have

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

Why Join Us

• Work on cutting-edge AI projects with top research labs
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that helps AI get environmental science right
• Potential for ongoing work and contract extension