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Ai Annotation

IT-ITES | AI - Data Scientist

~15,000 p.m | Under Graduate - Bachelor of Education , Bachelor of Arts , Bachelor of Commerce , Bachelor of Management - EDUCATION | Mayiladuthurai

Kollumangudi

Gender : All | Age Limit - 20-25 | Openings - 50 | Experience - Fresher | Job Type - Regular

Description

Key Responsibilities

  • Data Labeling and Annotation: 

    Accurately tag, label, and categorize data such as images, text, audio, and video to help AI systems learn patterns. 

  • Quality Control and Validation: 

    Review and validate datasets for accuracy, consistency, and completeness to prevent errors in AI training data. 

  • Guideline Adherence: 

    Follow and apply established guidelines and processes for annotation to ensure consistent data. 

  • Collaboration and Feedback: 

    Work with data scientists and engineers to refine guidelines, identify tooling issues, and provide feedback on data quality. 

  • Domain-Specific Annotation: 

    In some roles, apply expertise in specific domains like healthcare or legal to accurately tag domain-specific data, understanding complex terminology. 

Skills

  • AI - Data Engineer


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