You possesse a combination of domain-specific knowledge (sustainability), attention to detail, and understanding of the data labelling process. Here are the essential skills and knowledge areas we are looking for:

1. Language Proficiency:

Strong proficiency in the language(s) being annotated, including grammar, vocabulary, and context
2. Research ability:

You are used to navigating research aggregators like Research Gate and you are comfortable in searching relevant research on research publishers sites like Spring Nature or Elsevier
3. Domain Knowledge:

Familiarity with sustainability, environmental related topics is beneficial for understanding specialized terminology and context.
4. Communication Skills:

Effective communication with team members, especially when clarification on labeling guidelines or specific cases is needed.
5. Tool Proficiency:

Familiarity with Microsoft Teams and Office,
7. Critical Thinking:

Capacity to analyse ambiguous or complex text and make informed decisions on labelling, demonstrating critical thinking skills.
8. Collaboration:

Collaboration with data scientists, and other team members to understand the broader context of the project and align labeling efforts with the project goals.
9. Time Management:

Efficient time management skills to meet deadlines and contribute to the overall progress of the project.
10. Quality Control:

Understanding the importance of quality control measures
11. Continuous Learning:

Willingness to learn, interest in researching complex multidisciplinary environmental topics