DATA
ANNOTATOR
Data Annotators and Labelers play a crucial role in the development of AI and machine learning models by providing high-quality, accurately labeled data. They are responsible for reviewing and tagging data—whether it’s images, text, audio, or video—according to predefined guidelines to help train AI models. This role requires attention to detail, consistency, and an understanding of the specific domain in which the data is being used.
LOCATION
Remote
EMPLOYMENT TYPE
FULL TIME
What You’ll Do
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Label and Tag Data: Annotate various types of data, such as images, documents, audio files, or videos, with appropriate labels, tags, or classifications.
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Follow Annotation Guidelines: Work according to established guidelines and standards to ensure accuracy and consistency in labeling.
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Data Quality Control: Verify and review annotations to maintain high data quality and detect any errors or inconsistencies.
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Collaborate with the AI Team: Work closely with data scientists, machine learning engineers, and domain experts to understand the project’s goals and improve data annotation processes.
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Adapt to Different Data Types: Learn and adapt to new types of data as needed, ensuring flexibility in working with various AI applications.
Who You are
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Attention to Detail: Ability to accurately annotate data while maintaining consistency across large datasets.
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Basic Technical Skills: Familiarity with annotation tools and software used for tagging and labeling data.
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Domain Knowledge (Preferred): Some knowledge of the specific industry or domain in which the data is being used, such as healthcare, finance, legal, or e-commerce.