Remote Environmental Management Specialist for AI Quality

Alignerr Corp.; Portugal; Remote; EUR 34,000 - 83,000; Part time

Benefits offered by this job

Fully remote

Autonomy

Contract extension opportunities

Global collaboration

Job summary

Alignerr is seeking an experienced environmental management professional to evaluate AI-generated environmental analyses and recommendations. The role focuses on sustainability frameworks, impact assessment, and real-world applicability, all performed under a remote, flexible hourly contract.

You will review, critique, and provide structured feedback to improve AI outputs, working independently on a part-time 10–40 hours/week schedule. Prioritize accuracy and actionable guidance for AI systems.

Qualifications

• 3+ years hands-on experience in environmental management, conservation, or related field.
• Strong working knowledge of sustainability frameworks and environmental planning.
• Ability to critically evaluate written environmental analyses and provide structured feedback.
• Self-motivated, reliable, and able to work independently without close supervision.

Responsibilities

• Review and evaluate AI-generated environmental management scenarios and analyses.
• Assess AI reasoning related to sustainability, impact mitigation, and resource planning.
• Identify gaps between theory and real-world environmental practice.
• Provide clear, structured feedback to improve AI outputs.
• Flag misleading or technically unsound environmental content.
• Work asynchronously on task-based assignments.

Skills

Environmental management

Sustainability frameworks

Written feedback

Independent work

Education

Master's degree in Environmental Management

Job description

Alignerr is seeking an experienced environmental management professional to evaluate AI-generated environmental analyses and recommendations. The role focuses on sustainability frameworks, impact assessment, and real-world applicability, all performed under a remote, flexible hourly contract.

You will review, critique, and provide structured feedback to improve AI outputs, working independently on a part-time 10–40 hours/week schedule. Prioritize accuracy and actionable guidance for AI systems.