Alignerr · 1 day ago
Forestry and Land Management Scientist (AI Training)
United States
Contract
Remote
Mid Level
$30/hr - $55/hr
3+ years expAlignerr is seeking forestry and land management scientists to assist in evaluating AI systems focused on sustainable forestry and land-use practices. The role involves reviewing scenarios used in AI training, assessing content accuracy, and providing structured feedback to enhance applied reasoning.
Computer Software
Responsibilities
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
Qualification
Required
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
Preferred
Degree in Forestry, Natural Resources, or related field
Experience with land-use planning or conservation programs
Familiarity with AI or content evaluation workflows
Benefits
Competitive pay
Flexible remote work
Freelance perks: autonomy, flexibility, and global collaboration
Company
Alignerr
We're looking for experts to help train better AI.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase