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Data Annotator Fresher Jobs in Vijayawada

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  • 0 - 1 yrs
  • 7.5 Lac/Yr
  • Pakeergudem Vijayawada
Image Labeling Image Recognition Labeling Data Data Labeling Text Annotation Data Categorization Data Tagging Data Management Data Analysis Annotation Tools Critical Thinking Annotating Images Machine Learning Natural Language Processing Attention to Detail Data Validation Computer Vision Data Processing Quality Control Data Entry
We are looking for a Data Annotator to join our team in Pakeergudem, Vijayawada. This part-time role is perfect for individuals with little to no experience, and only requires a completed 10th-grade education. Work from home is available.As a Data Annotator, your main responsibilities will include: - **Labeling Data:** You will review data such as images, text, or audio and assign accurate labels to help train machine learning models. This is crucial for improving AI systems. - **Quality Control:** You will check to ensure the annotations are consistent and accurate. This helps maintain the quality of the dataset for better performance in AI applications. - **Feedback Participation:** You may be asked to provide feedback on the annotation process and suggest improvements to enhance efficiency. This helps in refining the workflow. To succeed in this role, you should have strong attention to detail, ensuring that every label is correctly applied. Good communication skills are necessary to clarify any doubts or seek guidance when needed. Basic computer skills are essential, as you will be working with online platforms for data annotation. A willingness to learn and adapt to new tools or software is also important. We value individuals who can manage their time efficiently and meet deadlines while maintaining work quality.
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  • 0 - 1 yrs
  • Penamaluru Vijayawada
Good Communication Computer Quick Learner Data Annotator
Our growing Company was looking for Freshers as Data Annotators with Good Communication Skills, & Computer Knowledge.This process known as lidar annotation, involves labeling the objects in the scene, such as cars, pedestrians, and traffic signs.Lidar heavily relies on machine learning models to provide real-time interpretations of point cloud data.Analyzing 3D lidar point cloud data is complex, repetitive, and time-consuming.Qualification:Bachelor's Degree from any organization.Skills:Good Communication SkillsComputer Knowledge
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