Data Annotation Specialist

2 weeks ago

Delhi, Delhi, India HireBloc Full time
About the Role

HireBloc is seeking a highly skilled Data Annotation Specialist to join our team. As a key member of our data team, you will play a critical role in ensuring the accuracy and quality of data used in machine learning and artificial intelligence applications.

Key Responsibilities
  1. Annotate various forms of data, including text, images, and videos, according to specific project requirements.
  2. Evaluate and improve data annotation tools and software to optimize efficiency and accuracy.
  3. Collaborate with data scientists, machine learning engineers, and other stakeholders to understand project goals and annotation guidelines.
  4. Utilize annotation tools and software to efficiently label and categorize large volumes of data.
  5. Ensure data integrity by identifying and reporting any issues or inconsistencies in the data.
  6. Work closely with the data management team to maintain organized datasets and ensure data quality.
  7. Develop and refine annotation guidelines and processes to optimize efficiency and accuracy.
Requirements
  • 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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