Australia

Environmental Management Scientist (AI Training) (Melbourne)

Environmental Management Scientist (AI Training) (Melbourne)
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
- Solid 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 #J-18808-Ljbffr Apply on Kit Job: kitjobau.com/job/3rrj74
Highlights
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