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Environmental management scientist (ai training)

London
Alignerr
Environmental
€40,000 a year
Posted: 27 April
Offer description

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 accuracy and reliability of next-generation AI systems — making a meaningful impact far beyond the field.

* Organization: Alignerr (Powered by Labelbox)
* Type: Hourly / Task-based Contract
* Location: Fully 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 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 practical lens
* Skilled at providing detailed, structured, and constructive written feedback
* Self-motivated and comfortable managing your own workload remotely


Nice to Have

* Master\'s degree in Environmental Management, Environmental Science, or a related discipline
* Familiarity with environmental policy, regulatory frameworks, or compliance processes
* Prior experience with AI content evaluation, annotation, or quality review workflows


Why Join Us

* Work on cutting-edge AI projects with top research labs and tech organizations
* Fully remote and flexible — work on your own schedule, from anywhere
* Freelance perks: autonomy, variety, and global collaboration
* Contribute to meaningful work that helps AI better understand our planet\'s most pressing challenges
* Potential for ongoing work and contract extension
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