Environmental Management Scientist (AI Training)

Alignerr Corp.

Municipio de Rincón de los Sauces

Remote

ARS 41,836,000 - 62,754,000

Part time

24 hours ago
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Benefits offered by this job

Autonomy
Flexible remote
Global collaboration

Job summary

Alignerr is seeking environmental management professionals to help shape how AI understands sustainability, land-use planning, and environmental decision-making. You will review AI-generated scenarios, assess the quality of reasoning, and provide structured feedback to improve accuracy and applicability.

This remote hourly contract offers flexible hours (10–40 per week). Ideal candidates have 3+ years in environmental management and a strong background in sustainability frameworks, with a

Qualifications

  • 3+ years hands-on experience in environmental management, conservation, or related field
  • Strong working knowledge of sustainability frameworks and environmental planning principles
  • Able to critically evaluate written environmental analyses for accuracy and relevance
  • Comfortable providing detailed, structured written feedback
  • Self-motivated and reliable when working independently

Responsibilities

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

Skills

Environmental management
Sustainability frameworks
Analytical feedback

Education

Master's in Environmental Science

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.

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.

  • 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
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