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.
