Cognitive Data Analyst (Data Annotation)

Requirements: 2

Responsibilities:

Annotating and labeling various types of data, including text, images, and audio, according to predefined guidelines and standards.

• Ensuring high-quality and accurate annotations to contribute to the training and evaluation of machine learning algorithms.

• Collaborating with team members to understand project requirements and provide feedback on annotation guidelines.

• Maintaining consistency and accuracy in labeling data across different projects and datasets.

• Meeting project deadlines and production targets while maintaining high standards of quality.

• Identifying and reporting any issues or challenges related to data quality and annotation guidelines.

• Attention to Detail: Exceptional attention to detail is critical for ensuring accurate and precise data annotations.

• Analytical Skills: Ability to analyze data and make informed decisions based on annotation guidelines.

  
  

• Adaptability: Ability to adapt to changing project requirements and annotation guidelines.

  
  

• Technical Proficiency: Familiarity with basic computer skills and the ability to quickly learn and adapt to annotation tools and software.

• Critical Thinking: Capability to think critically and identify potential issues or improvements in annotation processes.

Skill:

• A basic understanding of python coding skills.

• Working Conditions: This position may require sitting for extended periods, working on a computer, and attention to detail for extended periods.

• The candidate should be comfortable working in a collaborative team environment and be able to adapt to evolving project requirements.

• If you are passionate about contributing to the advancement of artificial intelligence and have the necessary skills, we encourage you to apply and be a part of our dynamic team.

  Qualification:

• A minimum of a HSC or bachelor's degree in a related field is a plus.

• Previous experience (1 -5) in data annotation, labeling, or a related field is preferred.

• A basic understanding of machine learning concepts and applications is a plus.