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How to label data and how to label data well.
At present, the mainstream machine learning method is based on supervised deep learning, which has a strong dependence on labeled data. The unlabeled raw data are mostly unstructured data, which the machine can't identify and learn. Only the marked data can be used for algorithm training after it becomes structured data.

The data labeling company is to assist artificial intelligence enterprises to solve the corresponding problems of data labeling in the whole artificial intelligence chain. Tag business can be divided into four categories: image tag, voice tag, text tag and 3D point cloud tag, covering AI application fields such as computer vision, voice engineering and natural language processing.

2.? Team building of data label companies

The team construction of data labeling company includes labeling staff, quality inspector, project manager and operation director.

l? Graffiti

Data annotator is the core position of data annotator company. Its main job is to process the learning data of artificial intelligence with the help of annotation tools. General information is pictures, videos, words, etc. And provide enough data sets for artificial intelligence through continuous operations such as picture frames and punctuation. The entry threshold for applicants is low, and patience and care are needed in the work process.

l? quality inspector

A quality inspector is a person who selects excellent people from the annotators to check the annotation data. Generally, there are many kinds of items and scenes marked by quality inspectors, so it is easier and more professional to accurately judge whether the marked elements are correct or not.

l? Project manager

The project manager is mainly responsible for the overall project management of each project of the company. The project manager must have a deep understanding of the needs of algorithm training such as computer vision, voice engineering and natural language processing, and have enough project experience to easily enter the project when docking with the demander. He needs rich experience in communicating needs, coordinating resources, managing projects and controlling progress.

l? business affairs

Business needs to go to major AI companies or laboratories to seek cooperation, constantly develop new customers, maintain old customers, and let our company become the supplier of major Party A companies as much as possible.

Jinglianwen Technology provides AI data collection, data labeling, data set products, fake fingerprint collection and fingerprint anti-counterfeiting algorithm services for thousands of artificial intelligence companies and university research institutions around the world. Jing Lianwen has been practicing the corporate mission of "being a data consultant for customers in the global AI industry", helping artificial intelligence technology to accelerate the quality change, power change and efficiency change of industries related to the digital economy, and empowering the intelligent transformation and upgrading of traditional industries. Jinglianwen Technology official website