Data Annotator

- annotate images: the primary responsibility of a data annotator is to accurately label and annotate images to help train machine learning models and improve data analysis.

- data labeling: the data annotator will be responsible for labeling data using annotation tools and ensuring that the data is organized and labeled correctly for analysis.

- use annotation tools: the data annotator should be familiar with various annotation tools used for labeling data, such as bounding boxes, polygons, and keypoints.

- assist with data analysis: the data annotator may be required to assist with data analysis tasks to identify patterns or trends in the labeled data.

- image labeling: another key responsibility is to label images accurately and consistently to enable accurate image recognition by machine learning algorithms.

- process data: the data annotator will need to process large amounts of data efficiently and accurately, ensuring that the labeled data is ready for analysis.

- familiarity with natural language processing (nlp) and machine learning: a basic understanding of nlp and machine learning concepts is desirable to effectively annotate data for training these models.

skills and expectations:

1. proficiency in annotating images and labeling data.

2. familiarity with annotation tools and data processing techniques.

3. ability to work independently and remotely.

4. strong attention to detail and accuracy in labeling data.

5. basic understanding of nlp and machine learning concepts.

6. good communication skills to collaborate with team members on data annotation tasks.

• Experience

  1 - 5 Years

• No. of Openings

  100

• Education

  Graduate

• Role

  Data Annotator

• Industry Type

  IT-Hardware & Networking / IT-Software / Software Services

• Gender

  [ Male / Female ]

• Job Country

  India

• Type of Job

  Part Time

• Work Location Type

  Work from Home