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.

Forestry and Land Management Scientist (AI Training)