Senior Machine Learning Expert (AI Training) About the Role What if your deep knowledge of machine learning could directly shape how the world's most advanced AI systems reason, plan, and make decisions?
Environmental Management Scientist (AI Training)
Job description
Environmental Management Scientist (AI Training)
About the Role
We're looking for experienced 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 quality and accuracy of next-generation AI systems — making them more grounded, practical, and trustworthy for environmental applications.
- 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, clarity, 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 understanding of sustainability frameworks, environmental impact assessment, and resource planning
- Ability to critically evaluate written environmental analyses and identify practical shortcomings
- 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 tools or content evaluation 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 environmental challenges
- Potential for ongoing work and contract extension
Compensation by region
Pay varies by where you're based. Each region below is open to applicants in that country only.
Available in 7 regions: pick your country on click.