AI Sustainability Evaluator (Remote Contract)

Alignerr Corp.; City of Edinburgh; Remote; GBP 34,000 - 69,000; Part time

Benefits offered by this job

Flexible hours

Remote work

Job summary

Alignerr Corp. is seeking environmental management professionals to shape how AI understands sustainability, conservation, and environmental decision-making. You will review AI-driven scenarios and provide structured feedback on AI reasoning related to land-use and resource planning.

The role is remote, hourly/task-based, with a commitment of 10–40 hours per week. Ideal for self-motivated individuals with 3+ years in the field and a Master’s-level qualification. AI familiarity is a plus.

Qualifications

• 3+ years of experience in environmental management or conservation.
• Strong working knowledge of sustainability frameworks, environmental planning, and impact assessment.
• Able to critically evaluate written environmental analyses with a practiced eye.
• Comfortable providing detailed, structured written feedback.
• Self-motivated and reliable — you can manage your time and meet deadlines independently.

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 outputs and real-world environmental practice.
• Provide clear, structured feedback to improve the accuracy and applicability of AI responses.
• Work independently and asynchronously to complete task-based assignments on your own schedule.

Skills

Sustainability frameworks

Environmental planning

Impact assessment

Critical feedback

Education

Master's degree in Environmental Management or related

Job description

Alignerr Corp. is seeking environmental management professionals to shape how AI understands sustainability, conservation, and environmental decision-making. You will review AI-driven scenarios and provide structured feedback on AI reasoning related to land-use and resource planning.

The role is remote, hourly/task-based, with a commitment of 10–40 hours per week. Ideal for self-motivated individuals with 3+ years in the field and a Master’s-level qualification. AI familiarity is a plus.