Data Annotation Specialist Mindtel Global

About Mindtel Global

Job Description

The Data Annotation role is a crucial part of the organization as it involves accurately labeling and categorizing data to support machine learning and AI projects. Your primary responsibility will be to annotate data according to specified guidelines and requirements, ensuring accuracy and consistency throughout the process. Collaborating with the data science and engineering teams, you will help define annotation strategies and perform quality checks to validate the annotated data. Adhering to project timelines is essential, as is identifying and reporting any issues or discrepancies that may arise. Documenting annotation processes and guidelines, providing feedback for improvement, and communicating effectively with stakeholders to clarify requirements are also key aspects of this role. You will contribute to the continuous improvement of data annotation workflows, stay updated on industry best practices, and participate in training sessions to enhance your skills. As a Data Annotation specialist, you should hold a Bachelor's degree in Computer Science, Data Science, or a related field. Proven experience in data annotation or data labeling roles is required, along with proficiency in data annotation tools and platforms. A strong understanding of data analysis and machine learning concepts is essential, as well as exceptional attention to detail and accuracy in data annotation. You should be able to work both independently and as part of a team, with excellent critical thinking and problem-solving skills. Good communication and interpersonal skills are important, along with familiarity with data labeling guidelines and best practices. Experience with image, text, or audio data annotation is a plus, as is knowledge of relevant programming languages such as Python or R. Understanding data privacy and security principles, the ability to adapt to evolving requirements and tools, and certifications in data annotation or related areas are advantageous. Strong organizational and time management skills will also be beneficial for this role.,