Remote Freelance Environmental AI Evaluation Specialist

Alignerr Corp.; Greater London; Remote; GBP 28,000 - 55,000; Part time

Benefits offered by this job

Flexible hours

Fully remote work

Potential for ongoing collaboration

Job summary

Alignerr Corp. is seeking environmental management professionals to shape how AI understands sustainability and land-use planning. You will review AI-generated scenarios and provide structured feedback from a practical, environmental perspective.

The role is an hourly, task-based contract with fully remote work and 10–40 hours per week. You will work independently and asynchronously, contributing to meaningful AI-quality improvements while maintaining flexible scheduling.

Qualifications

• 3+ years of hands-on experience in environmental management or related field.
• Strong knowledge of sustainability frameworks and environmental planning.
• Ability to critically evaluate written environmental analyses with a practical lens.

Responsibilities

• Review and evaluate AI-generated environmental management scenarios and analyses.
• Assess quality of reasoning related to sustainability and resource planning.
• Identify gaps between models and real-world environmental practice.
• Provide clear, structured feedback to improve AI outputs.
• Work independently and asynchronously on your own schedule.

Skills

Environmental management

Sustainability frameworks

Critical evaluation of analyses

Technical writing/feedback

Remote work/ self-motivation

Education

Master's degree in Environmental Management or related

Job description

Alignerr Corp. is seeking environmental management professionals to shape how AI understands sustainability and land-use planning. You will review AI-generated scenarios and provide structured feedback from a practical, environmental perspective.

The role is an hourly, task-based contract with fully remote work and 10–40 hours per week. You will work independently and asynchronously, contributing to meaningful AI-quality improvements while maintaining flexible scheduling.