Remote Forestry AI Content Auditor

Alignerr Corp.; Boston (MA); On-site; USD 55,000 - 117,000; Part time

Job summary

Alignerr is seeking a Forestry and Land Management Scientist (AI Training) for remote, hourly work. You will review AI outputs on forestry and land-use topics, ensuring scientific accuracy and actionable guidance for environmental professionals and decision-makers.

This freelance role offers flexible hours (10–40 per week) and a chance to shape how AI understands our natural world. Join a global expert community and contribute to meaningful AI training work with potential for ongoing

Qualifications

• 3+ years of hands-on forestry, land management, or closely related field.
• Deep understanding of forest ecosystems, silviculture, and sustainable land-use practices.
• Ability to evaluate applied environmental decisions and critique technical recommendations.
• Comfort reviewing and critiquing written scientific or professional content.

Responsibilities

• Review AI-generated forestry and land management scenarios for scientific accuracy and practicality.
• Assess content on forest health, land use planning, and sustainability best practices.
• Identify factual errors, oversimplifications, or flawed management recommendations in AI outputs.
• Provide structured feedback to improve AI reasoning on environmental topics.
• Work independently and asynchronously on a schedule that fits your life.

Skills

Forestry

Land management

Silviculture

Education

Degree in Forestry/Natural Resources/Environmental Science

Tools

AI tools knowledge

Job description

Alignerr is seeking a Forestry and Land Management Scientist (AI Training) for remote, hourly work. You will review AI outputs on forestry and land-use topics, ensuring scientific accuracy and actionable guidance for environmental professionals and decision-makers.

This freelance role offers flexible hours (10–40 per week) and a chance to shape how AI understands our natural world. Join a global expert community and contribute to meaningful AI training work with potential for ongoing