
AI Data Annotators
5 days ago
We are currently seeking highly skilled professionals to fill the position of Language Data Specialist. In this role, you will be responsible for annotating large datasets with precision and accuracy.
The ideal candidate will possess a strong aptitude for working with data and excellent verbal and written communication skills. They will be flexible and analytical with the ability to understand and interpret complex data sets and apply predefined guidelines to ensure the quality and consistency of annotations.
As a Language Data Specialist, your role will involve reviewing guidelines, creating sample prompts and responses in your area of expertise, annotating English data accurately and consistently, evaluating the quality of existing data resources, and developing and implementing guidelines and procedures for consistent, high-quality classification and content creation and organization.
Duties and Responsibilities- Annotate English data accurately and consistently, and in accordance with predefined annotation guidelines
- Evaluate the quality of existing data resources, as well as the output of machine learning classifiers and internal tools
- Develop, implement, and maintain guidelines and procedures for consistent, high-quality classification and content creation and organization
- Perform basic research as needed to annotate accurately
- Provide feedback on the annotation tasks and contribute to the continuous improvement of the data annotation process
- High Proficiency in English – C1 Level minimum as per the CEFR
- Educational background: Degree Level 7 & above
- Understanding common social norms (Social dynamics, social media, popular culture)
- Ability to efficiently work to specified project delivery deadlines
- Communication & interpersonal skills
- Proficiency in Microsoft office suite
- Excellent attention to detail
- Must be a good team player
Candidates should have the ability to reference online resources, rephrase and write cohesive, accurate, responsive, and sometimes empathetic answers to the prompts in the perspective of a LLM, and experience of data and trend analysis, and insights.
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