Data Annotator

2 months ago


Bengaluru, India Expertia AI Full time

Company Overview


Expertia AI is a Deep Tech company that specializes in discovering, developing, and deploying skills to build the future of work for organizations and professionals. Our innovative products, such as the Virtual Recruiter and Expertia Career Site, help recruiters streamline their hiring process and manage job applications effectively. With Expertia Skill Cloud, we enable easy storage, upload, and search of talent pools for accessing relevant candidates. Join us at Expertia AI and be a part of revolutionizing the HR Tech industry.


Job Overview


We are looking for a skilled Data Annotator(Text) to join our team at Expertia AI. As a Data Annotator, you will be responsible for annotating and labeling data to support our machine learning algorithms. This role requires a mid-level professional with 4 to 6 years of experience in data annotation. The position is located in Bangalore, Karnataka, India, and we offer various employment types including full-time, remote, contract, contract-to-hire, and hybrid.


Qualifications and Skills


  • 4 to 6 years of experience in textual data annotation
  • Strong understanding of data annotation methodologies and tools
  • Experience with data cleaning and segmentation techniques
  • Proficiency in using annotation tools like Doccano and Amazon Mechanical Turk
  • Knowledge of data labelling and tagging processes
  • Attention to detail and accuracy in data annotation
  • Good communication and collaboration skills


Roles and Responsibilities


  • Annotate and label data according to specified guidelines and requirements
  • Perform quality assurance checks on annotated data to ensure accuracy
  • Collaborate with the machine learning team to improve data annotation processes
  • Identify and report any issues or anomalies in the data
  • Contribute to the development of data annotation guidelines and best practices
  • Stay updated with industry trends and advancements in data annotation techniques
  • Maintain documentation related to data annotation tasks and processes






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