Data Annotator Intern

Seewise; Chennai District; On-site; INR 300,000 - 450,000; Full time

Job summary

Seewise is looking for a Data Annotator in Chennai District, Tamil Nadu to categorize content and prepare datasets for AI training. The role emphasizes extracting images from videos and annotating them with precision. You will collaborate closely with the machine learning team, ensuring data quality and providing valuable insights.

The ideal candidate should have strong computer skills and an eye for detail, with internship experience preferred. This position may also require visiting customer sites to implement solutions.

Qualifications

• Strong computer skills for data annotation.
• Attention to detail while handling similar images.
• Internship experience is a plus.

Responsibilities

• Extract images from videos and select unique frames to annotate.
• Tag and annotate data using internal tools.
• Prepare training data by converting annotated files into text format.
• Revise training data as specified by the engineering team.

Skills

Attention to detail

Computer skills

Experience with LabelImg

Job description

We are looking for a Data Annotator with strong computer skills who would help in categorizing content and reviewing materials. Your primary focus would be to extract images from videos, annotate them, and prepare the complete dataset for training. Attention to detail is important as you may work with similar images or materials and need to take note of any distinctions between the content. As a Data Annotator, you will work closely with the machine learning team. Your role would involve taking ownership of transcribing, tagging, and annotating data for training the AI model.

Roles and Responsibilities

• Extraction of images from videos and selecting unique frames to annotate.
• Tagging and annotating image data using LabelImg and providing useful information for the machine learning team using internal tools.
• Extraction of image paths, conversion of annotated files into text format, and preparation of training data.
• Revision of training data as specified by the engineering team.
• Expected to provide valuable information to the machine learning team on the nature of the data.
• Visit the customer site to implement the solution whenever needed.

Our Perfect Match

• Attention to detail while working with similar images or materials and the ability to take note of distinctions between the content.
• Internship experience is an added advantage.