Environmental Management Scientist (AI Training)

Alignerr Corp.; Municipio de Rincón de los Sauces; Remote; ARS 31,580,000 - 84,213,000; Part time

Benefits offered by this job

Fully remote

Freelance perks: autonomy, variety, &跨

Global collaboration

Job summary

Alignerr (Powered by Labelbox) seeks environmental management professionals for remote contract work. You will review AI-generated environmental analyses and provide detailed written feedback on sustainability and resource planning.

The role emphasizes independent work, flexible scheduling, and the opportunity to influence AI systems addressing real environmental challenges.

Qualifications

• 3+ years in environmental management, conservation or related field.
• Strong knowledge of sustainability frameworks and planning principles.
• Ability to evaluate written environmental analyses for accuracy.

Responsibilities

• Review and evaluate AI-generated environmental management scenarios and analyses.
• Assess AI reasoning related to sustainability, impact mitigation, and resource planning.
• Identify gaps between theoretical models and real-world practice.
• Provide structured written feedback to improve AI outputs.
• Work independently and asynchronously on task-based assignments.

Skills

Environmental mgmt

Sustainability frameworks

Analytical feedback

Self-motivated

Education

Master's degree in Environmental Management

Job description

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 most important challenges of our time.

This is a fully remote, flexible contract role — work on your own schedule and apply your knowledge in an exciting new frontier.

• 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 to complete task-based assignments on your own schedule

Who You Are

• 3+ years of hands-on experience in environmental management, conservation, or a closely related field
• Strong working knowledge of sustainability frameworks and environmental planning principles
• Able to critically evaluate written environmental analyses for accuracy, completeness, and practical relevance
• Comfortable providing detailed, structured written feedback
• Self-motivated and reliable when working independently
• No prior AI experience required

Nice to Have

• Master's degree in Environmental Management, Environmental Science, or a related discipline
• Experience with environmental policy, regulatory frameworks, or compliance
• Familiarity with AI systems 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, from anywhere
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that improves how AI addresses real environmental challenges
• Exposure to advanced large language models (LLMs) and how they're trained
• Potential for ongoing work and contract extension