Have A Blast?
At Qualitas Global, we don’t just accept diversity – we welcome & support it. Our employees are from all parts of India & we love to have fun while we work.
Qualitas Global is proud to make a positive social impact & employ over 60% female employees majorly from tier 2 & tier 3 cities in India.
According to all industry market reports, the data labelling market will grow from USD 1.5 billion in 2019 to USD 3.5 billion in 2024. Perfect Data Annotation is the most critical step in Supervised Learning. The annotator’s job is to ensure 100% accuracy while labelling data to teach the AI and ML models to recognize specific data types to ensure production relevant & correct output as the models are only as good as the data fed. Hence, it is most important to ensure that the services we provide to our customers is of the highest grade. This job demands long periods of focus, attention to detail & discipline. Whether you are just starting out or are already a veteran, we are always on the lookout for talented & committed individuals. We have a strong client base that expects us to perform to the highest global standards & hence we are only interested in people who would like to do just that. When you join Qualitas Global, you’ll be part of a collaborative, diverse organization where we value individuality & diversity. If you are driven to work hard & deserve to be a part of a global firm with an amazing work culture & an even more awesome team, you know where to apply!
we don’t just accept
diversity
We welcome & support it. Our employees are from all parts of India & we love to have fun while we work. One thing is blissfully obvious to anyone who walks through our front doors We know how to have a good time. Our staffers tend not to see the boundaries between work, play & a kick-ass creative brainstorm.
We stand up & walk away from our workstations. Play a game, chat a little, have a coffee break, rejuvenate and get back to work with double the energy. When the day is about to get over, you might want to be around for just a little more time to get together & discuss the books you’re reading, the TV shows you’re watching & the movies you love!.
Linguistic data analysts are required to carry out Natural Language Processing (NLP). This allows machines to identify text parts, the tonality of text, text within images, PDFs etc.
Apply NowLinguistic data analysts are required to carry out Natural Language Processing (NLP). This allows machines to identify text parts, the tonality of text, text within images, PDFs etc.
Apply NowLinguistic data analysts are required to carry out Natural Language Processing (NLP). This allows machines to identify text parts, the tonality of text, text within images, PDFs etc.
Apply NowLinguistic data analysts are required to carry out Natural Language Processing (NLP). This allows machines to identify text parts, the tonality of text, text within images, PDFs etc.
Apply NowLinguistic data analysts are required to carry out Natural Language Processing (NLP). This allows machines to identify text parts, the tonality of text, text within images, PDFs etc.
Apply NowLinguistic data analysts are required to carry out Natural Language Processing (NLP). This allows machines to identify text parts, the tonality of text, text within images, PDFs etc.
Apply NowWhen I started my career as a Tracking and Data Annotator with Qualitas Global in 2014, my job seemed simple. Some might have even considered it boring. I had to identify vehicles, makes, models, streets, traffic signs etc. As time progressed, the work changed into more complex and difficult tasks. From tagging vehicles to labeling people, from 2D objects to 3D bounding boxes, from daylight images to late night and Lidar images etc. This was an interesting challenge as it also helped me grow and expand my skill set. With hard work and dedication, I moved on to lead teams and now work as a Manager. I currently manage over 300 people in multiple Machine Learning projects.
Neeta
When I started my career as a Tracking and Data Annotator with Qualitas Global in 2014, my job seemed simple. Some might have even considered it boring. I had to identify vehicles, makes, models, streets, traffic signs etc. As time progressed, the work changed into more complex and difficult tasks. From tagging vehicles to labeling people, from 2D objects to 3D bounding boxes, from daylight images to late night and Lidar images etc. This was an interesting challenge as it also helped me grow and expand my skill set. With hard work and dedication, I moved on to lead teams and now work as a Manager. I currently manage over 300 people in multiple Machine Learning projects.
Neeta
When I started my career as a Tracking and Data Annotator with Qualitas Global in 2014, my job seemed simple. Some might have even considered it boring. I had to identify vehicles, makes, models, streets, traffic signs etc. As time progressed, the work changed into more complex and difficult tasks. From tagging vehicles to labeling people, from 2D objects to 3D bounding boxes, from daylight images to late night and Lidar images etc. This was an interesting challenge as it also helped me grow and expand my skill set. With hard work and dedication, I moved on to lead teams and now work as a Manager. I currently manage over 300 people in multiple Machine Learning projects.
Neeta
When I started my career as a Tracking and Data Annotator with Qualitas Global in 2014, my job seemed simple. Some might have even considered it boring. I had to identify vehicles, makes, models, streets, traffic signs etc. As time progressed, the work changed into more complex and difficult tasks. From tagging vehicles to labeling people, from 2D objects to 3D bounding boxes, from daylight images to late night and Lidar images etc. This was an interesting challenge as it also helped me grow and expand my skill set. With hard work and dedication, I moved on to lead teams and now work as a Manager. I currently manage over 300 people in multiple Machine Learning projects.
Neeta
