Data Annotation Specialist
2 weeks ago
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.
- 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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Data Annotation Specialist
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Delhi, Delhi, India HireBloc Full timeJob SummaryHireBloc is seeking a skilled Data Annotation Specialist to join our team. As a Data Annotation Specialist, you will play a critical role in ensuring the accuracy and quality of data used in machine learning and artificial intelligence applications.Key ResponsibilitiesAnnotate various forms of data, including text, images, and videos, according to...
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