Frequently Asked Questions

I can answer from personal experience. In my second year of college studies, I became interested in machine learning processing and start exploring the option to gain some practical knowledge about it. As I went deeper into a subject I was researching the options to gain practical experience in this field which is evolving increasingly and will become dominant in the digital environment and development process of Artificial Intelligence. One of the companies whose website grabbed my attention for longer than usual/others and hired me is Tasq.ai. I will enumerate a few valuable reasons for that:

1. We are a young company with a proven record of high-level service delivered to various businesses worldwide.
2. We have a range of offers needed for project/product/service development in a digital environment.
3. Our contributors are deployed globally, from different cultures and language backgrounds.

When contacting us, you should only explain what are needs and preferences related to the project you want us to participate in, and expect positive feedback in a few days. Data labeling was my favorite part to do because of the different approaches incorporated into different projects, while still delivering high-value data outcomes as a result. We are experienced and recognized worldwide for our service level and results, especially when it comes to industries such as autonomous vehicles, entertainment, retail, and agriculture. Our platform allows customers to properly prepare, label, and categorize any kind of digital content (audio, text, video, images) which should help to improve machine learning model accuracy with high-quality training data.

Don’t ever forget the fact that the quality of the data you feed your model with is imperative to delivering efficient and trustworthy results. So if you want to learn how to properly label a different type of data, you should consult the experts. Personally, I learn a lot about the development of different digital products/services stages, now I share my experience with others while still learning about other segments of digital transformation through Deep Learning and Computer Vision.