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28 Prisma Global Jobs
Cognitive Data Analyst (Data Annotation)
Prisma Global
posted 3mon ago
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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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