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Data Annotator / Data Labeller

3.00 to 8.00 Years   Chennai   26 Dec, 2022
LARSEN AND TOUBRO LIMITED
Job LocationChennai
EducationNot Mentioned
SalaryNot Disclosed
IndustryEngineering / Construction
Functional AreaCorporate Legal Department
EmploymentTypeFull-time

Job Description

    Data Annotator / Data Labeller
    • Smart World And Communication
    • Chennai Head Qrs.
    • Required Experience3 - 4Years
    SkillsKnowledge & Posting LocationMinimum QualificationNo data availableJob DescriptionThe Data Annotator / Data Labeller will support the Research and Development Team in improving the accuracy and quality of our deep learning models to achieve excellent performance in projects and competitions by using in-house tools to accurately annotate and label data. Visual data annotation analysts facilitate the training of AI/ML models by labelling images, identifying key points or pixels with precise tags in a format the system understands. Data vision analysts use bounding boxes in a specific section of an image or a frame to recognise a particular trait/object within an image and label it.Job Responsibilities:As an annotator / labeller, you will be responsible to:
    • Collaborate with researchers to determine and understand input data and annotate by drawing boxes to highlight areas of interest of images
    • Support researchers in training deep learning models through accurately categorizing content, labelling images and annotating data
    • Report and document issues faced from data annotation to Research team and discuss solutions to improve data
    • Provide feedback for improvement to existing tools that can improve the accuracy and quality of deep learning models
    • Contribute to workflow process improvements
    Job Requirements:
    • Preferably with basic computer literacy and IT experience
    • 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
    • Knowledge of tools like OpenCV, Keras, etc
    • Comfortable to handle large data sets on a regular basis
    • Ability to work on repetitive tasks efficiently and effectively with minimal errors
    • Excellent communication, analytical and with good reasoning skills
    • Possess high motivation with the desire to learn
    • Proactive attitude
    • Strong interest in Artificial Intelligence and machine learning, especially in deep learning

Keyskills :
pythonannotationlabel design

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