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Forestry and Land Management Scientist (AI Training)

AlignerrRemote, Delhi, IndiaPosted 19 May 2026

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

Quality 50/1005/5 clarityTier 2 company

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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