Environmental Management Scientist (AI Training)

Alignerr; Cape Town; On-site; ZAR 560,000 - 1,343,000; Part time

Job summary

Alignerr is recruiting experienced environmental management professionals for a fully remote, hourly contract role. You will review AI-generated environmental analyses and provide structured feedback, working asynchronously to fit your schedule.

The position suits experts with 3+ years in the field, strong sustainability knowledge, and the ability to evaluate real-world relevance of analyses. This freelance opportunity offers flexible hours (10–40 per week) and the chance to contribute to

Qualifications

• 3+ years of hands-on experience in environmental management, conservation, or related field.
• Strong knowledge of sustainability frameworks and impact assessment.
• Ability to critically evaluate written environmental analyses for accuracy and relevance.
• Ability to provide detailed, constructive feedback.

Responsibilities

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

Skills

Environmental management

Sustainability frameworks

Impact assessment

Feedback & critique

Independent remote work

Education

Master's degree in Environmental Management

Job description

About The Role

We're looking for experienced environmental management professionals to help shape the next generation of AI. Your real-world expertise in sustainability, land-use planning, and environmental decision-making will directly influence how AI understands and communicates these critical topics.

About The Role

We're looking for experienced environmental management professionals to help shape the next generation of AI. Your real-world expertise in sustainability, land-use planning, and environmental decision-making will directly influence how AI understands and communicates these critical topics.

This is a fully remote, flexible contract role — work on your own schedule while contributing to cutting-edge AI development.

• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly / Task-based Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

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

Who You Are

• 3+ years of hands-on experience in environmental management, conservation, or a closely related field
• Strong working knowledge of sustainability frameworks, environmental planning, and impact assessment
• Able to critically evaluate written environmental analyses for accuracy, depth, and practical relevance
• Skilled at providing detailed, constructive, and well-organized feedback
• Self-motivated and comfortable working independently in a remote setting

Nice to Have

• Master's degree in Environmental Management, Environmental Science, or a related discipline
• Experience with environmental policy, regulatory compliance, or permitting frameworks
• Familiarity with AI systems, content evaluation, or annotation workflows

Why Join Us

• Work on cutting-edge AI projects with top research labs and AI organizations
• Fully remote and flexible — design your own schedule around your life
• Freelance perks: autonomy, variety, and collaboration with a global community of experts
• Use your domain expertise to make a meaningful impact on how AI handles environmental topics
• Potential for ongoing work and contract extension