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.
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