Project Overview We are sourcing independent Search Engine Evaluation Specialists to provide their expertise for an AI benchmark evaluation project.
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 critical fields of our time. 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 improves the quality and reliability of cutting-edge AI models.
- Organization: Alignerr (Powered by Labelbox)
- Type: Hourly 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 and environmental planning processes
- Able to critically assess written environmental analyses and identify weaknesses
- Comfortable providing detailed, structured written feedback
- Self-motivated and reliable — able to meet project deadlines independently
Nice to Have
- Master's degree in Environmental Management, Environmental Science, or a related field
- Experience with environmental policy, regulatory compliance, or permitting frameworks
- Prior exposure to AI tools, content evaluation, or quality assurance workflows
Why Join Us
- Work on cutting-edge AI projects with leading research 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 environmental challenges
- Potential for ongoing work and contract extension
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