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Environmental Management Scientist (AI Training)
Job description
Environmental Management Scientist (AI Training)
About the Role
Your expertise in environmental management could help shape how AI understands one of the most important fields on the planet. We're looking for experienced environmental professionals to evaluate and improve AI systems trained on sustainability, land-use planning, and environmental decision-making.
This is a fully remote, flexible contract role where your real-world knowledge directly influences the quality and accuracy of next-generation AI tools — no prior AI experience required.
- 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, and 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
- Work independently and asynchronously on your own schedule
Who You Are
- 3+ years of hands-on experience in environmental management, conservation, or a related field
- Strong working knowledge of sustainability frameworks and environmental planning principles
- Able to critically evaluate written environmental analyses with a practiced eye
- Skilled at providing detailed, constructive, and well-organized feedback
- Self-motivated and comfortable working independently in a remote environment
Nice to Have
- Master's degree in Environmental Management, Environmental Science, or a related field
- 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 make a real environmental impact
- Fully remote and flexible — work when and where it suits you
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to AI that better understands sustainability and the natural world
- Potential for ongoing work and contract extension
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