- 経験
- 3年以上
- 給料
- —
- 求人情報
- 1
- 投稿済み
- 1週間前
- 作業モード
- 在宅勤務
- 教育
- Master's degree in Environmental Management, Environmental Science, or related discipline preferred
- 資格
- Environmental management professionals, conservation specialists, or closely related experts with at least 3 years of relevant experience can apply. A master's degree, policy/regulatory experience, or exposure to AI evaluation work is advantageous but not required.
- 再開する
- 応募必須
仕事内容
About the role
This contract position is for environmental management professionals who can help train AI systems to better understand sustainability, land-use planning, and environmental decision-making. Your practical experience will be used to improve how AI models assess real-world environmental challenges.
The role is fully remote, flexible, and project-based, allowing you to contribute on your own schedule.
Role overview
- Organization: Alignerr
- Engagement type: Hourly contract
- Work arrangement: Remote
- Commitment: Flexible and project-based
What you will do
- Examine AI-generated environmental management scenarios, assessments, and recommendations for quality and accuracy.
- Judge how well the AI applies sustainability frameworks, impact reduction approaches, and resource-planning logic.
- Spot the differences between academic or model-based environmental approaches and what actually works in practice.
- Call out incorrect, overly simplified, or misleading environmental content generated by AI.
- Share clear, organized feedback that helps improve the usefulness and reliability of the output.
- Handle tasks independently and asynchronously according to your own availability.
Candidate profile
- You have at least 3 years of practical experience in environmental management, conservation, or a closely related area.
- You understand sustainability frameworks, environmental planning, and impact assessment methods.
- You can review written environmental analysis critically and notice where it falls short in real-world application.
- You are comfortable giving detailed written feedback in a structured format.
- You are dependable, self-directed, and able to work without close supervision.
Preferred background
- A master's degree in Environmental Management, Environmental Science, or a similar field is a plus.
- Experience with environmental policy or regulatory systems is beneficial.
- Exposure to AI tools, content review, or data annotation processes is also helpful.
Why this role may appeal to you
- Contribute to advanced AI projects connected to leading research labs.
- Enjoy remote work with complete schedule flexibility.
- Benefit from freelance-style autonomy, varied assignments, and international collaboration.
- Use your expertise to support work that can influence how AI addresses environmental issues.
- There may be opportunities for continued work and contract renewal.