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Cognitive Data Analyst (Data Annotation)
Prisma Global
posted 28d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
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 bachelors 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.
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
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