As a Data Annotator, your main responsibility will be to accurately label and annotate data for machine learning algorithms. This includes tasks such as tagging images, transcribing audio, and categorizing text. You will need to pay close attention to detail and ensure the data is labeled correctly to improve the performance of AI models.
Key responsibilities:
- Labeling and annotating data according to specific guidelines and requirements.
- Ensuring data quality by reviewing and correcting annotations as needed.
- Communicating any issues or discrepancies in the data to the team lead.
To excel in this role, you should have strong attention to detail, excellent analytical skills, and the ability to work independently. A high level of accuracy is crucial to ensure the success of the machine learning projects. Good communication skills are also important to collaborate effectively with the team. No prior experience is required, making it a great opportunity for freshers or individuals looking to gain experience in the field. A 10th pass education level is sufficient for this role, and the flexibility of working part-time from home makes it a convenient option for those seeking a flexible schedule.