Natural Resource Conservation Scientist

Alignerr Corp.; Denver (CO); Teletrabalho; USD 34 000 - 69 000; Tempo parcial

Vantagens oferecidas por esta oferta de emprego

Fully remote

Flexible scheduling

Resumo da oferta

Alignerr is seeking a Natural Resource Conservation Scientist for AI training. This remote, hourly contract role offers flexible scheduling and a 10–40 hour per week commitment.

You will review AI-produced conservation content, ensuring accuracy across ecosystems, land use, and biodiversity, while providing structured feedback to improve AI reliability. Ideal candidates have 3+ years in conservation or environmental science, strong written communication, and the ability to work independently on

Qualificações

• 3+ years of professional experience in natural resource conservation.
• Strong knowledge of ecosystems, land management principles, and conservation science.
• Able to critically evaluate scientific reasoning and assess accuracy of recommendations.
• Detail-oriented with strong written communication skills.
• Self-motivated and comfortable working independently on remote, task-based projects.

Responsabilidades

• 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.

Conhecimentos

Conservation science

Ecosystems knowledge

Scientific reasoning

Written communication

Independent work

Remote collaboration

Formação académica

Master's degree in Natural Resources

PhD in Environmental Science

Ferramentas

AI content evaluation tools

Annotation workflows

Descrição da oferta de emprego

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