Natural Resource Conservation Scientist

Careers; Delhi; Remote; INR 2,670,000 - 5,340,000; Part time

Job summary

Alignerr (Powered by Labelbox) is seeking a Natural Resource Conservation Scientist to help train AI systems with environmental science expertise. This remote, hourly contract lets you work 10–40 hours per week on flexible, task-based assignments.

You will review conservation questions, evaluate AI-generated content on ecosystems, land use, and biodiversity, and provide clear feedback to improve AI reasoning.

Qualifications

• 3+ years of professional experience in natural resource conservation or environmental science.
• Strong knowledge of ecosystems, land management, and conservation practices.
• Able to critically evaluate scientific reasoning and applied conservation recommendations.
• Experienced in reviewing structured written content and providing actionable feedback.

Responsibilities

• Review conservation science questions and real-world scenarios used in AI training datasets.
• Evaluate AI-generated content for accuracy on land use, ecosystems, soils, water, and biodiversity.
• Assess whether AI recommendations reflect sound conservation practices.
• Provide structured feedback to improve AI reasoning and outputs.
• Work independently and asynchronously to complete tasks on your schedule.

Skills

Ecosystems knowledge

Conservation practices

Critical evaluation

Independent work

Education

Master's degree or PhD in Natural Resources, Environmental Science, Ecology, or related discipline

Job description

Natural Resource Conservation Scientist (AI Training)

About The Role

AI is rapidly expanding into environmental science--- and it needs experts like you to get it right. We're looking for experienced natural resource conservation scientists to evaluate and improve AI systems trained on environmental science, land management, and conservation decision-making.

Your field knowledge will directly shape how AI understands ecosystems, interprets conservation data, and recommends land management strategies. This is a unique opportunity to influence cutting‑edge AI development while working fully remotely 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 and real‑world scenarios used in AI training datasets
• Evaluate the scientific accuracy of AI‑generated content related to land use, ecosystems, soil health, water systems, and biodiversity
• Assess whether AI‑generated recommendations reflect sound, real‑world conservation practices
• Provide clear, structured feedback to improve scientific reasoning and AI outputs
• Work independently and asynchronously to complete task‑based assignments on your schedule

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 practices
• 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

Nice to Have

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

Why Join Us

• Work on cutting‑edge AI projects with real environmental impact
• Fully remote and flexible --- complete work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to AI that gets environmental science right
• Potential for ongoing work and contract extension