What are the responsibilities and job description for the Environmental Management Scientist (AI Training) position at Alignerr?
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 AI systems tackling some of the most important topics on the planet.
This is a fully remote, flexible contract role — work on your own schedule while contributing to cutting-edge AI development.
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 AI systems tackling some of the most important topics on the planet.
This is a fully remote, flexible contract role — work on your own schedule while contributing to cutting-edge AI development.
- Organization: Alignerr (Powered by Labelbox)
- Type: Hourly / Task-Based Contract
- Location: Remote
- Commitment: 10–40 hours/week
- 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 structured, detailed feedback to improve the clarity, accuracy, and applicability of AI outputs
- Work independently and asynchronously to complete task-based assignments on your own schedule
- 3 years of hands-on experience in environmental management, conservation, or a closely related field
- Strong working knowledge of sustainability frameworks, environmental planning principles, and impact assessment methodologies
- Able to critically evaluate written environmental analyses and identify weaknesses or inaccuracies
- Skilled at providing clear, structured written feedback
- Self-motivated and comfortable working independently in a remote setting
- 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 workflows, or data annotation
- Work on cutting-edge AI projects with top research labs and make a real impact on how AI handles environmental topics
- Fully remote and flexible — work from anywhere, on your own schedule
- Freelance perks: autonomy, variety, and collaboration with a global network of subject-matter experts
- Gain exposure to advanced large language models (LLMs) and how they are trained and evaluated
- Potential for ongoing work and contract extension based on performance
Salary : $30 - $55