Remote Forestry & Land Management AI Evaluator

Alignerr Corp.

France

Remote

EUR 21,000 - 55,000

Part time

17 hours ago
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Benefits offered by this job

Fully remote
Flexible schedule
Global collaboration

Job summary

Alignerr Corp. is seeking experienced forestry and land management scientists to influence the next generation of AI.

This remote, hourly-contract role lets you contribute real-world expertise on forest ecosystems and sustainable land use on your own schedule. You will review training scenarios, assess AI-generated content for forest health and planning accuracy, and provide structured feedback to improve environmental reasoning.

Qualifications

  • 3+ years hands-on experience in forestry, land management, or a closely related field.
  • Strong working knowledge of forest ecosystems and sustainable management practices.
  • Able to critically evaluate applied environmental decision-making scenarios.
  • Comfortable reading and assessing technical written content.

Responsibilities

  • Review forestry and land management scenarios used to train AI systems.
  • Assess the accuracy of AI-generated content related to forest health, land use planning, and sustainability practices.
  • Identify errors, oversimplifications, or flawed reasoning in management recommendations.
  • Provide clear, structured feedback that improves how AI applies scientific and environmental logic.
  • Work independently and asynchronously — on your own schedule.

Skills

Forestry expertise
Environmental assessment
Critical evaluation
Detail-oriented

Education

Degree in Forestry/Natural Resources/Environmental Science

Job description

Alignerr Corp. is seeking experienced forestry and land management scientists to influence the next generation of AI.

This remote, hourly-contract role lets you contribute real-world expertise on forest ecosystems and sustainable land use on your own schedule. You will review training scenarios, assess AI-generated content for forest health and planning accuracy, and provide structured feedback to improve environmental reasoning.

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