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Job Description & How to Apply Below
About
The Role
We're looking for environmental management professionals to help shape how AI understands sustainability, land-use planning, and environmental decision-making. Your real-world expertise will directly influence the quality and accuracy of AI systems used by researchers, policymakers, and practitioners worldwide.
This is a fully remote, flexible contract role where your knowledge genuinely matters — you're not just reviewing content, you're helping AI get environmental science right.
- Organization:
Alignerr (Powered by Labelbox) - Type:
Hourly / Task-based Contract - Location:
Remote - Commitment: 10–40 hours/week
- 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 approaches and real-world environmental practice
- Provide clear, structured feedback to improve the accuracy and applicability of AI outputs
- Work independently and asynchronously on your own schedule
- 3+ years of hands-on experience in environmental management, conservation, or a related field
- Strong working knowledge of sustainability frameworks, environmental planning, and impact assessment
- Able to critically evaluate written environmental analyses with a practiced eye
- Skilled at delivering detailed, structured, and constructive feedback
- Self-motivated and comfortable managing your own workload remotely
- 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 data annotation workflows
- Work on cutting-edge AI projects with top research labs
- Fully remote and flexible — work on your own schedule, anywhere
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work that improves how AI handles real environmental challenges
- Exposure to advanced large language models (LLMs) and how they're trained
- Potential for ongoing work and contract extension
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