Data Annotator (1 Year Contract)

About Infilect:

Infilect works towards building artificial intelligent products. 

We are an early-stage start-up (and not a late-stage start-up such as Flipkart/Ola). This implies a high-risk high-reward environment, doing grunt work a few times, having ownership and responsibility, and doing everything that should be done to get the task done on time. The rewards are of course in terms of fulfillment, above-market salary, rapid growth in compensation, and stock options.

Think about being employee no < 50 in an early stage start-up and the challenges that come with it. Only if you believe that you can thrive in such an environment, should you apply.

Job description

We are looking for Data annotators to help categorize the content. Contributing to the process of labeling data to make it usable for machine learning. You will be required to work with things like Images, advertisements, photographs and other types of material assessment and then attach tags to the content. 

Role responsibility

1. Use custom software to mark elements in the product image to support state-of-the-art computer vision efforts.
2. Identify and analyze any bugs and errors found and document them for review.
3. Manual Tagging and annotating large volumes of documents to serve as input for the Machine Learning team.
4. Assign text labels and draw bounding boxes around images.
5. Create labeled datasets and curate images
6. Perform object detection, image classification, and draw polygons on a given set of images.

Requirement

1. Quality-oriented approach
2. Strict adherence to timelines
3. Experience in Data Annotation preferred
4. Overview of Machine learning is an advantage
5. Proficiency in Computers, Excel, and Word
6. Should be capable to work in Teams and should take individual ownership of deliverables.
7. Passionate about data, efficiency, and accuracy towards data annotation work.
8. Attention to detail is a must-have.
9. Good communication skills and ability to work both in a team environment and independently.