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The average data annotator salary in the USA is $41,600 per year or $20 per hour. Entry level positions start at $33,150 per year while most experienced workers make up to $62,400 per year.

What a Data Annotator Does. A data annotator labels data points used to train a machine-learning model or AI algorithm. Training data is critical to the success of the machine-learning model, which can't produce accurate results without high-quality training data.

Data annotators help categorize content. They can work with things like videos, advertisements, photographs and other types of material. They assess the content and then attach tags to the content. This helps group information or materials together by relevance.

Ing to koombea.com, the key skills required for visual data annotation include: Analytical mathematics. In-depth knowledge of ML libraries. Programming languages like Python, Java, C++, etc. Image analysis algorithms. Visual Database Management. Understanding of dataflow programming.

Data Annotation Salaries in India The average salary for Data Annotation is ?37,858 per month in the India. The average additional cash compensation for a Data Annotation in the India is ?24,000, with a range from ?24,000 - ?24,000.

Data annotation is a crucial step in the AI-model development process, as it helps to ensure that the data being used to train and test algorithms is accurate and relevant. It can also help to improve the performance of AI models by providing them with more context and information about the data they are processing.

As of , the average hourly pay for a Data Annotation in the United States is $25.23 an hour.

Annotating Strategies Include a key or legend on your paper that indicates what each marking is for, and use a different marking for each type of information. Example: Underline for key points, highlight for vocabulary, and circle for transition points.