What are the responsibilities and job description for the Environmental Management Scientist (AI Training) position at Alignerr?
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 quality and accuracy of AI systems tackling some of the planet's most pressing challenges.
This is a fully remote, flexible contract role — work on your own schedule while contributing to cutting-edge AI development.
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 quality and accuracy of AI systems tackling some of the planet's most pressing challenges.
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 and analyses
- Assess the quality of AI reasoning related to sustainability, impact mitigation, and resource planning
- Identify gaps between theoretical frameworks and real-world environmental practice
- Provide clear, structured feedback to improve AI accuracy and applicability
- Work independently and asynchronously to meet project milestones
- 3 years of hands-on experience in environmental management, conservation, or a related field
- Strong command of sustainability frameworks, environmental planning, and impact assessment
- Able to critically evaluate written environmental analyses with precision
- Comfortable delivering detailed, structured feedback in written form
- Self-motivated and reliable in a remote, asynchronous work environment
- Master's degree in Environmental Management, Environmental Science, or a related discipline
- Experience with environmental policy, regulation, or compliance frameworks
- Familiarity with AI systems, content evaluation, or annotation workflows
- Work on cutting-edge AI projects with top research labs
- Fully remote and flexible — design your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work that helps AI better understand environmental challenges
- Exposure to advanced large language models (LLMs) and how they are trained
- Potential for ongoing work and contract extension
Salary : $30 - $55