According to annotation industry market reports, the data labelling market will grow from USD 1.5 billion in 2019 to USD 1.3 trillion by 2032.
Perfect data annotation is the most critical step in supervised learning.
The data annotator’s job is to ensure 100% accuracy while labelling data to teach the AI & 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 are 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 international 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!
Be part of the team that prepares data for AI/ML applications, curate high-quality datasets, and build robust quality assurance processes. Freshers will undergo intensive on- the- job training.
Gain real-world experience and propel your career forward, interning alongside industry experts.
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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.
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.
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