Environmental Management Scientist (AI Training)

Alignerr; Atlanta (GA); Remoto; USD 34.000 - 83.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote work

Descrizione del lavoro

Alignerr Corp. (Powered by Labelbox) is seeking environmental management professionals to shape how AI understands sustainability and land-use planning. Your real-world expertise will influence AI systems tackling complex environmental challenges.

This is a fully remote, flexible contract role — work on your own schedule and contribute to cutting-edge AI development from wherever you are.

Competenze

• 3+ years hands-on experience in environmental management
• Strong working knowledge of sustainability frameworks, environmental planning, and impact assessment
• Able to critically evaluate written environmental analyses and identify where they fall short
• Comfortable providing detailed, structured written feedback
• Self-motivated and reliable — able to work independently and meet deadlines

Mansioni

• 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, depth, and applicability of AI outputs
• Work independently and asynchronously to complete task-based assignments on your own schedule

Conoscenze

Environmental management

Sustainability frameworks

Impact assessment

Written feedback

Independent work

Formazione

Master's degree in Environmental Management

Descrizione del lavoro

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 accuracy and quality of AI systems tackling some of the most complex environmental challenges of our time.

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 accuracy and quality of AI systems tackling some of the most complex environmental challenges of our time.

This is a fully remote, flexible contract role — work on your own schedule and contribute to cutting-edge AI development from wherever you are.

• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly / Task-based Contract
• 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, depth, and applicability of AI outputs
• Work independently and asynchronously to complete task-based assignments 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, environmental planning, and impact assessment
• Able to critically evaluate written environmental analyses and identify where they fall short
• Comfortable providing detailed, structured written feedback
• Self-motivated and reliable — you can work independently and meet deadlines without close supervision

Nice to Have

• Master's degree in Environmental Management, Environmental Science, or a related field
• Experience with environmental policy, regulatory frameworks, or compliance
• Familiarity with AI systems, content evaluation, or annotation workflows

Why Join Us

• Work on cutting-edge AI projects with top research labs and a global team
• Fully remote and flexible — set your own hours and work from anywhere
• Freelance perks: autonomy, variety, and meaningful work that has real impact
• Contribute to AI systems that handle important real-world environmental topics
• Potential for ongoing work and contract extension