Forestry & Land Management AI Content Reviewer (Remote)

Alignerr Corp.; Denver (CO); A distancia; USD 55.000 - 96.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Remote work

Flexible hours

Potential for ongoing work

Descripción de la vacante

Alignerr Corp. is seeking experienced forestry and land management scientists for an hourly contract role. You will review AI-generated forestry and land management scenarios for scientific accuracy and provide structured feedback to improve AI reasoning, working asynchronously and remotely.

Remote—10–40 hours per week—with flexible scheduling and potential for ongoing work. Ideal candidates have 3+ years of hands-on forestry experience and strong knowledge of forest ecosystems and land-use

Formación

• 3+ years of hands-on experience in forestry, land management, or related field.
• Strong knowledge of forest ecosystems, silviculture, and land-use frameworks.
• Ability to critique applied environmental decision-making and technical content.

Responsabilidades

• Review AI-generated forestry and land management scenarios for scientific accuracy.
• Assess content related to forest health, ecosystem management, and sustainable land-use practices.
• Identify factual errors, oversimplifications, or flawed management recommendations.
• Provide clear, structured feedback to improve AI reasoning in applied environmental contexts.
• Work independently and asynchronously on your own schedule.

Conocimientos

Forestry experience

Environmental science knowledge

Critical evaluation

Written communication

Independent work

Educación

Degree in Forestry or related field

Herramientas

Content evaluation workflows

Descripción del empleo

Alignerr Corp. is seeking experienced forestry and land management scientists for an hourly contract role. You will review AI-generated forestry and land management scenarios for scientific accuracy and provide structured feedback to improve AI reasoning, working asynchronously and remotely.

Remote—10–40 hours per week—with flexible scheduling and potential for ongoing work. Ideal candidates have 3+ years of hands-on forestry experience and strong knowledge of forest ecosystems and land-use