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Environmental management scientist (ai training)

Newcastle
Alignerr
Posted: 6 June
Offer description

About The Role

We're looking for experienced environmental management professionals to help shape the next generation of AI systems. Your real-world expertise in sustainability, land-use planning, and environmental decision-making will directly influence how AI understands and communicates complex environmental topics — making a meaningful impact on how these systems serve researchers, policymakers, and practitioners worldwide.

* 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 environmental models and real-world 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, environmental planning, and impact assessment
* Able to critically evaluate written environmental analyses and spot where reasoning falls short
* Comfortable providing detailed, structured written feedback
* Self-motivated and reliable when working independently
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
* Fully remote and flexible — work on your own schedule
* Freelance perks: autonomy, variety, and global collaboration
* Contribute to meaningful work that improves how AI handles real-world environmental challenges
* Potential for ongoing work and contract extension
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