Social media- Data Labelling

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

automated annotation tools,attention to detail,data annotation,machine learning concepts,computer science,problem-solving skills,data labeling,information technology,training,verification,data security,collaboration skills,security regulations,artificial intelligence,large datasets,large dataset management,team collaboration,problem-solving,annotation tools,data management principles,willingness to learn,analytical skills,data management,industry trends,machine learning,data,mentoring,productivity tools,data privacy,problem solving,collaboration,annotation software,quality checks,annotation,time management,team meetings