Natural Resource Conservation Scientist

Alignerr Corp.; Vancouver; Remote; CAD 34,000 - 55,000; Part time

Job summary

Alignerr is seeking a Natural Resource Conservation Scientist to help evaluate AI training data for conservation science and environmental decision-making. This remote, hourly contract role suits experts who thrive on independent work and rigorous scientific review.

The role offers 10–40 hours per week on a freelance basis, with opportunities to collaborate with a global community of scientists and subject matter experts.

Qualifications

• 3+ years of professional experience in natural resource conservation or environmental science.
• Strong foundational knowledge of ecosystems, land management principles, and conservation science.
• Skilled at evaluating scientific reasoning and applying precise recommendations.
• Self-motivated and reliable when working independently on task-based projects.

Responsibilities

• Review conservation science questions and scenarios used in AI training datasets.
• Evaluate the scientific accuracy of AI-generated content across ecosystems, land use, soil science, hydrology, and biodiversity.
• Assess whether AI-generated recommendations reflect real-world conservation practices and regulatory standards.
• Identify gaps, errors, or misleading reasoning in AI outputs.
• Provide clear, structured feedback to improve scientific reasoning and response quality.
• Work independently and asynchronously — on a schedule that fits your life.

Skills

NR conservation experience

Ecosystems knowledge

Independent work

Education

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

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 help evaluate and improve AI systems trained on conservation science, land management, and environmental decision-making.

• 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, case studies, and 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 recommendations reflect real-world conservation practices and regulatory standards
• Identify gaps, errors, or misleading reasoning in AI outputs
• Provide clear, structured feedback to improve scientific reasoning and response quality
• Work independently and asynchronously — on a schedule that fits your life

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 principles, and conservation science
• Skilled at evaluating scientific reasoning and applied recommendations with precision
• Comfortable reviewing and annotating structured written content
• Self-motivated and reliable when working independently on task-based projects

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, or data annotation workflows
• Experience with regulatory frameworks such as ESA, CWA, NEPA, or similar

Why Join Us

• Work on cutting-edge AI projects that are shaping how technology understands the natural world
• Fully remote and flexible — complete tasks on your own schedule
• Freelance perks: autonomy, variety, and collaboration with a global community of scientists and experts
• Contribute to meaningful work that helps AI make more accurate, responsible environmental recommendations
• Potential for ongoing work and contract extension