Data Labelling
Data Labelling
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1 Vacancy
Job Description
Overview
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 highquality 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
- Bachelors 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 wellorganized 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 problemsolving 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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Employment Type
Full Time
