About The Role
We're looking for forestry and land management scientists to help evaluate AI systems trained on sustainable forestry and land-use practices.
- 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 forestry and land management scenarios used in AI training.
- Assess accuracy of content related to forest health, land use, and sustainability.
- Identify errors or oversimplifications in management recommendations.
- Provide structured feedback to improve applied reasoning.
- Work independently and asynchronously to meet project deadlines.
Who You Are
- 3+ years of experience in forestry or land management roles.
- Strong understanding of forest ecosystems and management practices.
- Able to evaluate applied environmental decision-making.
- Comfortable reviewing written technical content.
Nice to Have
- Degree in Forestry, Natural Resources, or related field.
- Experience with land-use planning or conservation programs.
- 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. 
