Forestry and Land Management Scientist (AI Training)
Alignerr is seeking forestry and land management scientists to evaluate AI systems specialized in sustainable forestry and land-use practices. Responsibilities include reviewing AI training data, identifying errors, and providing feedback on forest health and management strategies. Candidates must have at least 3 years of experience in forestry or related fields. The role is fully remote and task-based.
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Experience
3+ years
Function
Research
Work mode
Remote, India
Company
Tier 2
What you will work on
Alignerr is seeking forestry and land management scientists to evaluate AI systems specialized in sustainable forestry and land-use practices. Responsibilities include reviewing AI training data, identifying errors, and providing feedback on forest health and management strategies. Candidates must have at least 3 years of experience in forestry or related fields. The role is fully remote and task-based.
TAL's take
The role is a task-based freelance contract with clear domain-specific requirements but lacks long-term structural impact as an independent contributor.
Very clear and concise description of the task-based nature and the specific domain expertise required for AI data evaluation.
Must haves
- 3+ years of hands-on experience in forestry or land management
- Strong understanding of forest ecosystems and silviculture
- Ability to critically evaluate environmental management decision-making
- Experience reviewing technical content with precision
About the company
Alignerr is a specialized data labeling platform powered by Labelbox, operating as a mid-stage service/platform entity.
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