About The Role

We're looking for experienced natural resource conservation scientists to help evaluate and improve AI systems trained on environmental science, land management, and conservation decision-making.

Organization: Alignerr (Powered by Labelbox)
Location: Remote
Type: Hourly / Task-based Contract
Compensation: $30-55 /hour
Commitment: 10-40 hours/week

What You'll Do

Review conservation science questions and scenarios used in AI training.
Evaluate the scientific accuracy of content related to land use, ecosystems, soil, water, and biodiversity.
Assess whether AI-generated recommendations reflect real-world conservation practices.
Provide structured feedback to improve scientific reasoning and outputs.
Work independently and asynchronously to meet project deadlines.

Who You Are

3+ years of professional experience in natural resource conservation or environmental science.
Strong understanding of ecosystems, land management, and conservation principles.
Able to clearly evaluate scientific reasoning and applied recommendations.
Comfortable reviewing structured written content and providing detailed feedback.

Nice to Have

Master's degree or PhD in Natural Resources, Environmental Science, or related field.
Fieldwork or applied conservation experience.
Familiarity with AI or content evaluation workflows.

Why Join Us

Competitive pay and flexible remote work.
Lead a team working on cutting-edge AI projects.
Exposure to advanced LLMs and how they're trained.
Freelance perks: autonomy, flexibility, and global collaboration.
Potential for contract extension.

Application Process (Takes 10-15 min)

Submit your resume
Complete a short screening
Project matching and onboarding

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Natural Resource Conservation Scientist (AI Training)