Data Annotation Specialist

4 weeks ago

Delhi, Delhi, India HireBloc Full time
Data Annotation Role at HireBloc

The Data Annotation role is a critical component of our machine learning and artificial intelligence applications. As a Data Annotation specialist, you will play a vital part in the development and enhancement of algorithms by meticulously labeling, categorizing, and verifying data.

Key Responsibilities:
  • Annotate various forms of data, including text, images, and videos, according to specific project requirements.
  • Ensure accuracy and consistency in data annotations through thorough verification and quality checks.
  • Collaborate with data scientists, machine learning engineers, and other stakeholders to understand project goals and annotation guidelines.
  • Utilize annotation tools and software to efficiently label and categorize large volumes of data.
  • Adhere to project timelines and deliver high-quality annotated data within specified deadlines.
  • Identify and report any issues or inconsistencies in the data and provide suggestions for improvement.
  • Work closely with the data management team to maintain organized datasets and ensure data integrity.
  • Participate in regular team meetings and contribute to discussions on data annotation best practices and challenges.
  • Assist in developing and refining annotation guidelines and processes to optimize efficiency and accuracy.
  • Communicate effectively with team members and project leads to provide updates on annotation progress and challenges.
  • Follow best practices for data security and confidentiality to protect sensitive information.
  • Stay updated on industry trends and advancements in data annotation technology and practices.
  • Contribute to the training of new team members and provide guidance on data annotation procedures.
  • Support the development and implementation of automated annotation tools and processes.
Required Qualifications:
  • Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field.
  • Proven experience in data annotation, data labeling, or similar roles within the AI or machine learning domain.
  • Demonstrated proficiency in using annotation tools and software, such as Labelbox, Prodigy, or Amazon SageMaker Ground Truth.
  • Strong understanding of data management principles and practices with the ability to maintain structured and well-organized datasets.
  • Excellent attention to detail and the ability to maintain focus during repetitive tasks.
  • Ability to collaborate effectively in a team environment, communicate clearly, and contribute to a positive and collaborative work culture.
  • Analytical and problem-solving skills to identify and address data annotation issues and challenges.
  • Solid time management skills to prioritize tasks, meet deadlines, and adapt to changing project requirements.
  • Familiarity with data privacy and security regulations and a commitment to upholding data confidentiality and protection protocols.
  • Proficiency in using productivity and collaboration tools, such as Microsoft Office, Google Workspace, or Slack.
  • Knowledge of machine learning and AI concepts and the ability to understand the impact of quality annotated data on model performance.
  • Strong willingness to learn and adapt to new annotation techniques, tools, and processes.
  • Ability to work with large and diverse datasets, including text, images, audio, and video data.
  • Experience in mentoring or training team members in annotation methods and best practices.
  • Certifications in data annotation, machine learning, or related fields are a plus.

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