Remote Environmental AI Training Quality Reviewer

Alignerr Corp.; Boston (MA); Remote; USD 55,000 - 96,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Global collaboration

Job summary

Alignerr (Powered by Labelbox) seeks experienced environmental management professionals to help shape how AI understands sustainability, land-use planning, and environmental decision-making. Your real-world expertise will influence the quality and accuracy of AI systems trained on complex environmental topics.

Join a remote, hourly-contract team with 10–40 hours/week. You will review AI-generated environmental analyses and provide detailed feedback, working independently to fit your schedule and

Qualifications

• 3+ years of hands-on experience in environmental management, conservation, or related field.
• Strong working knowledge of sustainability frameworks, environmental planning, and impact assessment.
• Able to critically evaluate written environmental analyses with a practitioner’s eye.
• Comfortable providing detailed, well-organized written feedback.
• Self-motivated and reliable — you can meet deadlines without micromanagement.

Responsibilities

• Review and evaluate AI-generated environmental management scenarios, analyses, and recommendations.
• Assess the quality of AI reasoning related to sustainability frameworks, impact mitigation, and resource planning.
• Identify gaps between theoretical environmental models and real-world practice.
• Provide clear, structured feedback to improve the accuracy, depth, and applicability of AI outputs.
• Work independently and asynchronously on task-based assignments that fit your schedule.

Skills

Environmental management

Sustainability frameworks

Impact assessment

Written feedback

Education

Master’s degree in Environmental Management/Environmental Science

Job description

Alignerr (Powered by Labelbox) seeks experienced environmental management professionals to help shape how AI understands sustainability, land-use planning, and environmental decision-making. Your real-world expertise will influence the quality and accuracy of AI systems trained on complex environmental topics.

Join a remote, hourly-contract team with 10–40 hours/week. You will review AI-generated environmental analyses and provide detailed feedback, working independently to fit your schedule and