Data Labeler specializes in creating quality

We have a team of more than 1000 (and growing) full time Data Labelers. Our teams are working around

The Data Labeler Blog

Your Expert Guide to Community Building.

Machine Learning

Why is a Data Engine Necessary For our ML Team?
admin
July 06, 2022

Why is a Data Engine Necessary For our ML Team?

Today’s machine learning teams confront similar difficulties, such as the requirement to provide higher quality training data, speed up model iterations, and assist their firm in gaining a competitive advantage through performant AI. Even the most complex models may be built by teams using a practical and smooth data engine in the field of labeling […]

A Quick Guide to Find the Right Minds for Annotation
admin
May 20, 2022

A Quick Guide to Find the Right Minds for Annotation

The amount of data involved in AI and machine learning integration is far too large to handle in-house. Finding outsourced data labeling professionals who can use their knowledge to create quality training data within a specific time limit is your best bet. Outsourcing data annotation and labeling services to a professional firm that can deliver […]

What is the scope of ML and Ai in the next 10 years
admin
May 02, 2022

What is the scope of ML and Ai in the next 10 years

Many companies and the marketing teams that support them are rapidly adopting intelligent technology solutions to encourage operational efficiency while improving the customer experience. Through these platforms, marketers are able to gain a more nuanced, comprehensive understanding of their target audiences. Data labeler provides quality training data for ML & AI. The insights gathered through […]

Why AI-assisted content moderation will never be able to take the position of human moderators
admin
April 19, 2022

Why AI-assisted content moderation will never be able to take the position of human moderators

Automation in content moderation is a broad concept. In certain aspects, AI content moderation systems use very little intelligence. AI in content moderation can refer to the use of a variety of automated approaches at various phases of content moderation. These techniques might range from simple keyword filters to machine learning and a wide range of tools and methodologies. […]