NLP Text Annotation project
Budget: $750 – $1,500 USD
Job Description:
We are seeking experienced NLP text annotation experts for an upcoming project that involves a range of tasks including, but not limited to:
- Text Classification: Categorizing texts into predefined classes.
- Named Entity Recognition (NER): Identifying and labeling entities in text data.
- Search Relevance Evaluation: Assessing and improving search results relevance.
Responsibilities:
- Perform high-quality text annotation following the project’s guidelines.
- Utilize specific tools for annotation tasks.
- Collaborate with our project team to ensure consistency and accuracy in the annotations.
- Provide regular updates on progress and challenges.
Qualifications:
- Proven experience in NLP text annotation, especially in Text Classification and NER.
- Strong attention to detail and ability to follow complex guidelines.
- Familiarity with annotation tools and platforms.
- Ability to work independently and meet deadlines.
Preferred:
- Experience in search relevance evaluation.
- Background in linguistics or related fields.
We are seeking experienced NLP text annotation experts for an upcoming project that involves a range of tasks including, but not limited to:
- Text Classification: Categorizing texts into predefined classes.
- Named Entity Recognition (NER): Identifying and labeling entities in text data.
- Search Relevance Evaluation: Assessing and improving search results relevance.
Responsibilities:
- Perform high-quality text annotation following the project’s guidelines.
- Utilize specific tools for annotation tasks.
- Collaborate with our project team to ensure consistency and accuracy in the annotations.
- Provide regular updates on progress and challenges.
Qualifications:
- Proven experience in NLP text annotation, especially in Text Classification and NER.
- Strong attention to detail and ability to follow complex guidelines.
- Familiarity with annotation tools and platforms.
- Ability to work independently and meet deadlines.
Preferred:
- Experience in search relevance evaluation.
- Background in linguistics or related fields.