Remote Forestry & Land-Use AI Evaluator

Alignerr Corp.

Municipio de Rincón de los Sauces

Remote

ARS 53,224,000 - 106,447,000

Full time

2 days ago
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Benefits offered by this job

Autonomy
Flexible schedule
Global collaboration

Job summary

Alignerr Corp. is seeking experienced forestry and land management scientists to shape the next generation of AI by reviewing how AI interprets forest health, land use, and sustainability topics.

This fully remote, hourly-contract role offers flexible scheduling (10–40 hours per week) and the opportunity to contribute to environmental AI with leading research labs and global collaborators. Ideal candidates have practical field experience, strong silviculture knowledge, and the ability to provide

Qualifications

  • 3+ years of hands-on forestry or land management experience.
  • Strong knowledge of forest ecosystems and sustainable land-use practices.
  • Ability to critically review technical content with precision.
  • Ability to work independently on remote projects.

Responsibilities

  • Review forestry and land management scenarios used in AI training datasets.
  • Assess the accuracy of AI-generated content related to forest health and land use.
  • Identify errors or misleading recommendations in AI outputs.
  • Provide structured feedback to improve AI reasoning on environmental topics.
  • Work independently and asynchronously on own schedule.

Skills

Forestry expertise
Land management
Silviculture knowledge
Environmental science

Education

Degree in Forestry or related field

Tools

AI evaluation workflows

Job description

Alignerr Corp. is seeking experienced forestry and land management scientists to shape the next generation of AI by reviewing how AI interprets forest health, land use, and sustainability topics.

This fully remote, hourly-contract role offers flexible scheduling (10–40 hours per week) and the opportunity to contribute to environmental AI with leading research labs and global collaborators. Ideal candidates have practical field experience, strong silviculture knowledge, and the ability to provide

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