Alignerr
Environmental Management Scientist (AI Training)
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Environmental Management Scientist (AI Training)
Environmental Management Consultant (AI Delivery)
About The Role
We’re looking for environmental management professionals to help shape how AI models understand sustainability, land-use planning, and environmental decision-making. Your expertise will directly influence the quality and accuracy of AI systems used by researchers, policymakers, and organizations tackling critical global challenges.
This is a fully remote, flexible contract role—work on your 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 frameworks
- Impact mitigation strategies
- Resource planning
- Identify gaps between theoretical models and real-world environmental practice
- Provide clear, structured feedback to improve the accuracy and applicability of AI outputs
- Flag misleading, incomplete, or technically flawed environmental content
- Work independently and asynchronously, at a sustainable pace
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Who You Are
Core Requirements:
- 3+ years of hands-on experience in one of:
- Environmental management
- Conservation
- Related interdisciplinary fields
- Strong working knowledge of:
- Sustainability frameworks
- Environmental planning
- Impact assessment methodologies
- Ability to critically evaluate written environmental analyses with confidence and precision
- Demonstrated skill in providing detailed, structured written feedback
- Self-starter with experience working asynchronously and independently in a remote environment
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Nice to Have:
- Advanced degree (Master’s or above) in:
- Environmental Management
- Environmental Science
- Related fields
- Previous work with environmental policy or regulatory frameworks
- Familiarity with:
- AI systems development
- Content evaluation processes
- Annotation workflows
Why Join Us
- Pioneering impact: Work on early-stage AI projects with top-tier research labs shaping the future of AI-driven environmental decision-making
- Flexibility: Fully remote with predictable autonomy—collaborate globally while determining your schedule
- Professional growth: Freelance role with ongoing potential, contract extensions available
- Meaningful contribution: Directly support responsible environmental AI models
- Hands-on experience: Gain firsthand exposure to advanced large language models and their development pipelines
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