Natural Resource Conservation Scientist

Alignerr Corp.; Atlanta (GA); Remote; USD 34,000 - 83,000; Part time

Job summary

Alignerr is seeking a Natural Resource Conservation Scientist to help evaluate and improve AI training content in conservation science, land management, and environmental decision-making. You will review questions, assess accuracy, and provide constructive feedback on AI outputs.

The role is remote with an hourly, task-based contract. Candidates should have 3+ years in natural resource conservation and a strong scientific background to ensure AI systems reflect current knowledge and best

Qualifications

• 3+ years of professional experience in natural resource conservation or related field.
• Strong knowledge of ecosystems and land management principles.
• Ability to critically evaluate scientific reasoning and recommendations.
• Ability to provide structured, detailed feedback on AI outputs.

Responsibilities

• Review conservation science questions and scenarios used in AI training datasets.
• Evaluate scientific accuracy of AI-generated content on land use, ecosystems, soil, water, biodiversity.
• Assess if AI recommendations reflect real-world conservation practices and current standards.
• Identify errors, gaps, or misleading reasoning in AI outputs and provide improvements.
• Provide clear, structured feedback to improve scientific reasoning and response quality.
• Work independently and asynchronously to fit your schedule.

Skills

Conservation science

AI training evaluation

Scientific reasoning

Education

MS/PhD in Natural Resources

Tools

None

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 conservation science, land management, and environmental decision-making.

• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly / Task-based Contract
• Location: Fully Remote
• Commitment: 10–40 hours/week

What You'll Do

• Review conservation science questions and scenarios used in AI training datasets
• Evaluate the scientific accuracy of AI-generated content related to land use, ecosystems, soil, water, and biodiversity
• Assess whether AI-generated recommendations reflect real-world conservation practices and current scientific standards
• Identify errors, gaps, 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 working knowledge of ecosystems, land management principles, and conservation frameworks
• Able to critically evaluate scientific reasoning and applied conservation recommendations
• Comfortable reviewing structured written content and articulating detailed, constructive feedback
• Self-motivated and reliable — you can manage your own time and meet deadlines without hand-holding

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 scientific writing review

Why Join Us

• Competitive hourly pay for specialized scientific expertise
• Fully remote and flexible — work from anywhere, on your own schedule
• Meaningful impact — your knowledge helps ensure AI gets environmental science right
• Cutting-edge exposure — gain firsthand insight into how large language models are trained and evaluated
• Freelance autonomy — no micromanagement, no rigid hours, global collaboration
• Potential for ongoing work and contract extension based on performance